Diffusion-based model as a generalizable denoiser for optoacoustic imaging.

Joachim M. Buhmann ETH Zurich, Switzerland University of Bonn, Germany http://www.ml.inf.ethz.ch/people/person-detail.html?persid=113456 http://www.informatik.uni-bonn.de/~jb/ https://scholar.google.com/citations?user=zQWbCzYAAAAJ https://openreview.net/profile?id=~Joachim_M._Buhmann1 https://orcid.org/0000-0002-6613-7101

Yuan Xu Xiang Liu 0017 Xia Li 0005 Sandeep Kumar Kalva Joachim M. Buhmann Daniel Razansky X. Luís Dean-Ben Diffusion-based model as a generalizable denoiser for optoacoustic imaging. 111340 2026 200 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2025.111340 db/journals/cbm/cbm200.html#XuLLKBRD26 streams/journals/cbm

Fabian Laumer Lena Rubi Michael A. Matter Stefano Buoso Gabriel Fringeli François Mach Frank Ruschitzka Joachim M. Buhmann Christian M. Matter 2D echocardiography video to 3D heart shape reconstruction for clinical application. 103434 2025 101 Medical Image Anal. https://doi.org/10.1016/j.media.2024.103434 db/journals/mia/mia101.html#LaumerRMBFMRBM25 streams/journals/mia

João B. S. Carvalho Victor Jimenez Rodriguez Alessandro Torcinovich Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr Joachim M. Buhmann Rethinking Robustness in Machine Learning: A Posterior Agreement Approach. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=Bpc9uZ6kcg db/journals/tmlr/tmlr2025.html#CarvalhoRTCCSB25 streams/journals/tmlr

João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr Joachim M. Buhmann Rethinking Robustness in Machine Learning: A Posterior Agreement Approach. 2025 March abs/2503.16271 CoRR https://doi.org/10.48550/arXiv.2503.16271 db/journals/corr/corr2503.html#abs-2503-16271 streams/journals/corr

Ivan Ovinnikov Ami Beuret Flavia Cavaliere Joachim M. Buhmann Fundamentals of Arthroscopic Surgery Training and beyond: a reinforcement learning exploration and benchmark. 1773-1781 2024 September 19 Int. J. Comput. Assist. Radiol. Surg. 9 https://doi.org/10.1007/s11548-024-03116-z db/journals/cars/cars19.html#OvinnikovBCB24 streams/journals/cars

Robin C. Geyer Alessandro Torcinovich João B. S. Carvalho Alexander Meyer Joachim M. Buhmann Measuring Orthogonality in Representations of Generative Models. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=TSUprKRga1 db/journals/tmlr/tmlr2024.html#GeyerTCMB24

Xia Li 0005 Fabian Zhang Muheng Li Damien C. Weber Antony J. Lomax Joachim M. Buhmann Ye Zhang 0039 Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction. 2024 abs/2402.05568 CoRR https://doi.org/10.48550/arXiv.2402.05568 db/journals/corr/corr2402.html#abs-2402-05568

Marc Bartholet Taehyeon Kim 0001 Ami Beuret Se-Young Yun Joachim M. Buhmann Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. 2024 abs/2402.06974 CoRR https://doi.org/10.48550/arXiv.2402.06974 db/journals/corr/corr2402.html#abs-2402-06974

Mengyuan Liu 0001 Zhongbin Fang Xia Li 0005 Joachim M. Buhmann Xiangtai Li Chen Change Loy Point-In-Context: Understanding Point Cloud via In-Context Learning. 2024 abs/2404.12352 CoRR https://doi.org/10.48550/arXiv.2404.12352 db/journals/corr/corr2404.html#abs-2404-12352

Xia Li 0005 Muheng Li Antony J. Lomax Joachim M. Buhmann Ye Zhang 0039 Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods. 2024 abs/2405.00430 CoRR https://doi.org/10.48550/arXiv.2405.00430 db/journals/corr/corr2405.html#abs-2405-00430

Peifeng Jiang Hong Liu 0008 Xia Li 0005 Ti Wang Fabian Zhang Joachim M. Buhmann TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM. 2024 abs/2405.19614 CoRR https://doi.org/10.48550/arXiv.2405.19614 db/journals/corr/corr2405.html#abs-2405-19614

Jihe Li Fabian Zhang Xia Li 0005 Tianhao Zhang Ye Zhang 0039 Joachim M. Buhmann Gaussian Representation for Deformable Image Registration. 2024 abs/2406.03394 CoRR https://doi.org/10.48550/arXiv.2406.03394 db/journals/corr/corr2406.html#abs-2406-03394

Omar G. Younis Luca Corinzia Ioannis N. Athanasiadis Andreas Krause 0001 Joachim M. Buhmann Matteo Turchetta Breeding Programs Optimization with Reinforcement Learning. 2024 abs/2406.03932 CoRR https://doi.org/10.48550/arXiv.2406.03932 db/journals/corr/corr2406.html#abs-2406-03932

Robin C. Geyer Alessandro Torcinovich João B. S. Carvalho Alexander Meyer Joachim M. Buhmann Measuring Orthogonality in Representations of Generative Models. 2024 abs/2407.03728 CoRR https://doi.org/10.48550/arXiv.2407.03728 db/journals/corr/corr2407.html#abs-2407-03728 streams/journals/corr

Ivan Ovinnikov Eugene Bykovets Joachim M. Buhmann Learning Causally Invariant Reward Functions from Diverse Demonstrations. 2024 abs/2409.08012 CoRR https://doi.org/10.48550/arXiv.2409.08012 db/journals/corr/corr2409.html#abs-2409-08012 streams/journals/corr

Omar G. Younis Matteo Turchetta Daniel Ariza Suarez Steven Yates Bruno Studer Ioannis N. Athanasiadis Andreas Krause 0001 Joachim M. Buhmann Luca Corinzia ChromaX: a fast and scalable breeding program simulator. 2023 December 39 Bioinform. 12 https://doi.org/10.1093/bioinformatics/btad691 db/journals/bioinformatics/bioinformatics39.html#YounisTSYSAKBC23

Fabian Laumer Mounir Amrani Laura Manduchi Ami Beuret Lena Rubi Alina Dubatovka Christian M. Matter Joachim M. Buhmann Weakly supervised inference of personalized heart meshes based on echocardiography videos. 102653 2023 83 Medical Image Anal. https://doi.org/10.1016/j.media.2022.102653 db/journals/mia/mia83.html#LaumerAMBRDMB23

Simon Föll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thäter Joachim M. Buhmann Felix Wortmann Krikamol Muandet Gated Domain Units for Multi-source Domain Generalization. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=V7BvYJyTmM db/journals/tmlr/tmlr2023.html#FollDECMOTBWM23

João B. S. Carvalho Carlos Cotrini Fabian Laumer André Euler Katharina Martini Thomas Frauenfelder Joachim M. Buhmann Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230504 conf/isbi/2023 db/conf/isbi/isbi2023.html#CarvalhoCLEMFB23 João B. S. Carvalho Mengtao Zhang Robin Geyer 0002 Carlos Cotrini Joachim M. Buhmann Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/b010241b9f1cdfc7d4c392db899cef86-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#CarvalhoZGCB23 Zhongbin Fang Xiangtai Li Xia Li 0005 Joachim M. Buhmann Chen Change Loy Mengyuan Liu 0001 Explore In-Context Learning for 3D Point Cloud Understanding. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/8407d254b5baacf69ee977aa34f0e521-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#FangL0BLL23

Zhongbin Fang Xiangtai Li Xia Li 0005 Joachim M. Buhmann Chen Change Loy Mengyuan Liu 0001 Explore In-Context Learning for 3D Point Cloud Understanding. 2023 abs/2306.08659 CoRR https://doi.org/10.48550/arXiv.2306.08659 db/journals/corr/corr2306.html#abs-2306-08659

Lukas Klein João B. S. Carvalho Mennatallah El-Assady Paolo Penna Joachim M. Buhmann Paul F. Jaeger Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. 2023 abs/2306.09035 CoRR https://doi.org/10.48550/arXiv.2306.09035 db/journals/corr/corr2306.html#abs-2306-09035

Ivan Ovinnikov Joachim M. Buhmann Regularizing Adversarial Imitation Learning Using Causal Invariance. 2023 abs/2308.09189 CoRR https://doi.org/10.48550/arXiv.2308.09189 db/journals/corr/corr2308.html#abs-2308-09189

João B. S. Carvalho Mengtao Zhang Robin Geyer 0002 Carlos Cotrini Joachim M. Buhmann Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. 2023 abs/2312.14329 CoRR https://doi.org/10.48550/arXiv.2312.14329 db/journals/corr/corr2312.html#abs-2312-14329

Luca Corinzia Paolo Penna Wojciech Szpankowski Joachim M. Buhmann Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. 11615-11640 2022 AISTATS https://proceedings.mlr.press/v151/corinzia22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#CorinziaPSB22 João B. S. Carvalho João A. Santinha Djordje Miladinovic Carlos Cotrini Joachim M. Buhmann Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence. 199-218 2022 MIDL https://proceedings.mlr.press/v172/carvalho22a.html conf/midl/2022 db/conf/midl/midl2022.html#CarvalhoSMCB22 Lukas Klein João B. S. Carvalho Mennatallah El-Assady Paolo Penna Joachim M. Buhmann Paul F. Jaeger Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. 689-712 2022 MIDL https://proceedings.mlr.press/v172/klein22a.html conf/midl/2022 db/conf/midl/midl2022.html#KleinCEPBJ22 Djordje Miladinovic Kumar Shridhar Kushal Jain Max B. Paulus Joachim M. Buhmann Carl Allen Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/3ed57b293db0aab7cc30c44f45262348-Abstract-Conference.html db/conf/nips/neurips2022.html#MiladinovicSJPB22 Matteo Turchetta Luca Corinzia Scott Sussex Amanda Burton Juan Herrera Ioannis N. Athanasiadis Joachim M. Buhmann Andreas Krause 0001 Learning Long-Term Crop Management Strategies with CyclesGym. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/4a22ceafe2dd6e0d32df1f7c0a69ab68-Abstract-Datasets_and_Benchmarks.html db/conf/nips/neurips2022.html#TurchettaCSBHAB22

Simon Föll Alina Dubatovka Eugen Ernst Martin Maritsch Patrik Okanovic Gudrun Thäter Joachim M. Buhmann Felix Wortmann Krikamol Muandet Gated Domain Units for Multi-source Domain Generalization. 2022 abs/2206.12444 CoRR https://doi.org/10.48550/arXiv.2206.12444 db/journals/corr/corr2206.html#abs-2206-12444

Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim Joachim M. Buhmann BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. 2022 abs/2208.10481 CoRR https://doi.org/10.48550/arXiv.2208.10481 db/journals/corr/corr2208.html#abs-2208-10481

Ðorðe Miladinovic Kumar Shridhar Kushal Jain Max B. Paulus Joachim M. Buhmann Carl Allen Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. 2022 abs/2209.12590 CoRR https://doi.org/10.48550/arXiv.2209.12590 db/journals/corr/corr2209.html#abs-2209-12590

Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim Joachim M. Buhmann How to Enable Uncertainty Estimation in Proximal Policy Optimization. 2022 abs/2210.03649 CoRR https://doi.org/10.48550/arXiv.2210.03649 db/journals/corr/corr2210.html#abs-2210-03649

Daniel Paysan Luis Haug Michael Bajka Markus Oelhafen Joachim M. Buhmann Self-supervised representation learning for surgical activity recognition. 2037-2044 2021 16 Int. J. Comput. Assist. Radiol. Surg. 11 https://doi.org/10.1007/s11548-021-02493-z https://www.wikidata.org/entity/Q112683870 db/journals/cars/cars16.html#PaysanHBOB21

Viktor Wegmayr Joachim M. Buhmann Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography. 656-680 2021 129 Int. J. Comput. Vis. 3 https://doi.org/10.1007/s11263-020-01384-1 db/journals/ijcv/ijcv129.html#WegmayrB21

Ðorðe Miladinovic Aleksandar Stanic Stefan Bauer Jürgen Schmidhuber Joachim M. Buhmann Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. 2021 ICLR https://openreview.net/forum?id=I4c4K9vBNny conf/iclr/2021 db/conf/iclr/iclr2021.html#MiladinovicSBSB21 Luca Corinzia Paolo Penna Wojciech Szpankowski Joachim M. Buhmann On maximum-likelihood estimation in the all-or-nothing regime. 1106-1111 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9517942 conf/isit/2021 db/conf/isit/isit2021.html#CorinziaPSB21

Luca Corinzia Paolo Penna Wojciech Szpankowski Joachim M. Buhmann On maximum-likelihood estimation in the all-or-nothing regime. 2021 abs/2101.09994 CoRR https://arxiv.org/abs/2101.09994 db/journals/corr/corr2101.html#abs-2101-09994

Djordje Miladinovic Aleksandar Stanic Stefan Bauer Jürgen Schmidhuber Joachim M. Buhmann Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. 2021 abs/2103.08877 CoRR https://arxiv.org/abs/2103.08877 db/journals/corr/corr2103.html#abs-2103-08877

João B. S. Carvalho João A. Santinha Djordje Miladinovic Joachim M. Buhmann Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation. 2021 abs/2103.11713 CoRR https://arxiv.org/abs/2103.11713 db/journals/corr/corr2103.html#abs-2103-11713

Luca Corinzia Fabian Laumer Alessandro Candreva Maurizio Taramasso Francesco Maisano Joachim M. Buhmann Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. 101975 2020 110 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2020.101975 https://www.wikidata.org/entity/Q103721442 db/journals/artmed/artmed110.html#CorinziaLCTMB20

Patrick Schwab Lorenz Linhardt Stefan Bauer Joachim M. Buhmann Walter Karlen Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. 5612-5619 2020 AAAI https://doi.org/10.1609/aaai.v34i04.6014 conf/aaai/2020 db/conf/aaai/aaai2020.html#SchwabLBBK20 Aytunc Sahin Yatao Bian Joachim M. Buhmann Andreas Krause 0001 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. 8388-8397 2020 ICML http://proceedings.mlr.press/v119/sahin20a.html conf/icml/2020 db/conf/icml/icml2020.html#SahinBB020 Fabian Laumer Gabriel Fringeli Alina Dubatovka Laura Manduchi Joachim M. Buhmann DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds. 194-212 2020 ML4H@NeurIPS http://proceedings.mlr.press/v136/laumer20a.html conf/nips/2020ml4h db/conf/nips/ml4h2020.html#LaumerFDMB20 Viktor Wegmayr Aytunc Sahin Björn Sæmundsson Joachim M. Buhmann Instance Segmentation for the Quantification of Microplastic Fiber Images. 2199-2206 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093352 conf/wacv/2020 db/conf/wacv/wacv2020.html#WegmayrSSB20

Aytunc Sahin Yatao Bian Joachim M. Buhmann Andreas Krause 0001 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. 2020 abs/2006.01293 CoRR https://arxiv.org/abs/2006.01293 db/journals/corr/corr2006.html#abs-2006-01293

Yatao Bian Joachim M. Buhmann Andreas Krause 0001 Continuous Submodular Function Maximization. 2020 abs/2006.13474 CoRR https://arxiv.org/abs/2006.13474 db/journals/corr/corr2006.html#abs-2006-13474

Luca Corinzia Fabian Laumer Alessandro Candreva Maurizio Taramasso Francesco Maisano Joachim M. Buhmann Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. 2020 abs/2008.05867 CoRR https://arxiv.org/abs/2008.05867 db/journals/corr/corr2008.html#abs-2008-05867

Luca Corinzia Paolo Penna Wojciech Szpankowski Joachim M. Buhmann Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. 2020 abs/2011.11500 CoRR https://arxiv.org/abs/2011.11500 db/journals/corr/corr2011.html#abs-2011-11500

Ðorðe Miladinovic Christine Muheim Stefan Bauer Andrea Spinnler Daniela Noain Mojtaba Bandarabadi Benjamin Gallusser Gabriel Krummenacher Christian R. Baumann Antoine Adamantidis Steven A. Brown Joachim M. Buhmann SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species. 2019 15 PLoS Comput. Biol. 4 https://doi.org/10.1371/journal.pcbi.1006968 https://www.wikidata.org/entity/Q64103498 db/journals/ploscb/ploscb15.html#MiladinovicMBSN19

Luca Corinzia Jesse Provost Alessandro Candreva Maurizio Tamarasso Francesco Maisano Joachim M. Buhmann Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. 410-419 2019 AIME https://doi.org/10.1007/978-3-030-21642-9_51 conf/aime/2019 db/conf/aime/aime2019.html#CorinziaPCTMB19 Philippe Wenk Alkis Gotovos Stefan Bauer Nico S. Gorbach Andreas Krause 0001 Joachim M. Buhmann Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. 1351-1360 2019 AISTATS http://proceedings.mlr.press/v89/wenk19a.html conf/aistats/2019 db/conf/aistats/aistats2019.html#WenkGBG0B19 Viktor Wegmayr Giacomo Giuliari Joachim M. Buhmann Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography. 232-244 2019 GCPR https://doi.org/10.1007/978-3-030-33676-9_16 conf/dagm/2019 db/conf/dagm/gcpr2019.html#WegmayrGB19 Viktor Wegmayr Maurice Hörold Joachim M. Buhmann Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression. 247-260 2019 GCPR https://doi.org/10.1007/978-3-030-33676-9_17 conf/dagm/2019 db/conf/dagm/gcpr2019.html#WegmayrHB19 Ðorðe Miladinovic Muhammad Waleed Gondal Bernhard Schölkopf Joachim M. Buhmann Stefan Bauer Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments. 2019 DGS@ICLR https://openreview.net/forum?id=HklaEUUtON conf/iclr/2019dgs db/conf/iclr/dgs2019.html#MiladinovicGSBB19 Yatao An Bian Joachim M. Buhmann Andreas Krause 0001 Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference. 644-653 2019 ICML http://proceedings.mlr.press/v97/bian19a.html conf/icml/2019 db/conf/icml/icml2019.html#BianB019 Viktor Wegmayr Maurice Hörold Joachim M. Buhmann Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion. 1042-1046 2019 ISBI https://doi.org/10.1109/ISBI.2019.8759394 conf/isbi/2019 db/conf/isbi/isbi2019.html#WegmayrHB19 Luca Corinzia Paolo Penna Luca Mondada Joachim M. Buhmann Exact Recovery for a Family of Community-Detection Generative Models. 415-419 2019 ISIT https://doi.org/10.1109/ISIT.2019.8849311 conf/isit/2019 db/conf/isit/isit2019.html#CorinziaPMB19

Luca Corinzia Paolo Penna Luca Mondada Joachim M. Buhmann Exact Recovery for a Family of Community-Detection Generative Models. 2019 abs/1901.06799 CoRR http://arxiv.org/abs/1901.06799 db/journals/corr/corr1901.html#abs-1901-06799

Patrick Schwab Lorenz Linhardt Stefan Bauer Joachim M. Buhmann Walter Karlen Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. 2019 abs/1902.00981 CoRR http://arxiv.org/abs/1902.00981 db/journals/corr/corr1902.html#abs-1902-00981

Ðorðe Miladinovic Muhammad Waleed Gondal Bernhard Schölkopf Joachim M. Buhmann Stefan Bauer Disentangled State Space Representations. 2019 abs/1906.03255 CoRR http://arxiv.org/abs/1906.03255 db/journals/corr/corr1906.html#abs-1906-03255

Luca Corinzia Joachim M. Buhmann Variational Federated Multi-Task Learning. 2019 abs/1906.06268 CoRR http://arxiv.org/abs/1906.06268 db/journals/corr/corr1906.html#abs-1906-06268

Joachim M. Buhmann Alexey Gronskiy Matús Mihalák Tobias Pröger Rastislav Srámek Peter Widmayer Robust optimization in the presence of uncertainty: A generic approach. 135-166 2018 94 J. Comput. Syst. Sci. https://doi.org/10.1016/j.jcss.2017.10.004 db/journals/jcss/jcss94.html#BuhmannGMPSW18

Stefan Frässle Ekaterina I. Lomakina Lars Kasper Zina M. Manjaly Alexander P. Leff Klaas P. Pruessmann Joachim M. Buhmann Klaas E. Stephan A generative model of whole-brain effective connectivity. 505-529 2018 179 NeuroImage https://doi.org/10.1016/j.neuroimage.2018.05.058 https://www.wikidata.org/entity/Q88882543 db/journals/neuroimage/neuroimage179.html#FrassleLKMLPBS18

Nico S. Gorbach Marc Tittgemeyer Joachim M. Buhmann Pipeline validation for connectivity-based cortex parcellation. 219-234 2018 181 NeuroImage https://doi.org/10.1016/j.neuroimage.2018.06.066 https://www.wikidata.org/entity/Q89453304 db/journals/neuroimage/neuroimage181.html#GorbachTB18

Joachim M. Buhmann Julien Dumazert Alexey Gronskiy Wojciech Szpankowski Posterior agreement for large parameter-rich optimization problems. 1-22 2018 745 Theor. Comput. Sci. https://doi.org/10.1016/j.tcs.2018.04.015 db/journals/tcs/tcs745.html#BuhmannDGS18

Gabriel Krummenacher Cheng Soon Ong Stefan Koller Seijin Kobayashi Joachim M. Buhmann Wheel Defect Detection With Machine Learning. 1176-1187 2018 19 IEEE Trans. Intell. Transp. Syst. 4 https://doi.org/10.1109/TITS.2017.2720721 db/journals/tits/tits19.html#KrummenacherOKK18

Joachim M. Buhmann VIS Capstone Address : Can I believe what I see?-Information theoretic algorithm validation. 1 2018 VAST https://doi.org/10.1109/VAST.2018.8802482 conf/ieeevast/2018 db/conf/ieeevast/ieeevast2018.html#Buhmann18 Viktor Wegmayr Giacomo Giuliari Stefan Holdener Joachim M. Buhmann Data-driven fiber tractography with neural networks. 1030-1033 2018 ISBI https://doi.org/10.1109/ISBI.2018.8363747 conf/isbi/2018 db/conf/isbi/isbi2018.html#WegmayrGHB18 Alexey Gronskiy Joachim M. Buhmann Wojciech Szpankowski Free Energy Asymptotics for Problems with Weak Solution Dependencies. 2132-2136 2018 ISIT https://doi.org/10.1109/ISIT.2018.8437718 conf/isit/2018 db/conf/isit/isit2018.html#GronskiyBS18 Viktor Wegmayr Sai Aitharaju Joachim M. Buhmann Classification of brain MRI with big data and deep 3D convolutional neural networks. 105751S 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2293719 conf/micad/2018 db/conf/micad/micad2018.html#WegmayrAB18

Philippe Wenk Alkis Gotovos Stefan Bauer Nico S. Gorbach Andreas Krause 0001 Joachim M. Buhmann Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. 2018 abs/1804.04378 CoRR http://arxiv.org/abs/1804.04378 db/journals/corr/corr1804.html#abs-1804-04378

An Bian Joachim M. Buhmann Andreas Krause 0001 Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference. 2018 abs/1805.07482 CoRR http://arxiv.org/abs/1805.07482 db/journals/corr/corr1805.html#abs-1805-07482

Julian G. Zilly Joachim M. Buhmann Dwarikanath Mahapatra Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. 28-41 2017 55 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2016.07.012 https://www.wikidata.org/entity/Q39427150 db/journals/cmig/cmig55.html#ZillyBM17

Stefan Frässle Ekaterina I. Lomakina Adeel Razi Karl J. Friston Joachim M. Buhmann Klaas E. Stephan Regression DCM for fMRI. 406-421 2017 155 NeuroImage https://doi.org/10.1016/j.neuroimage.2017.02.090 https://www.wikidata.org/entity/Q38929351 db/journals/neuroimage/neuroimage155.html#FrassleLRFBS17

Andrew An Bian Baharan Mirzasoleiman Joachim M. Buhmann Andreas Krause 0001 Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. 111-120 2017 AISTATS http://proceedings.mlr.press/v54/bian17a.html conf/aistats/2017 db/conf/aistats/aistats2017.html#BianMB017 Joachim M. Buhmann Julien Dumazert Alexey Gronskiy Wojciech Szpankowski Phase Transitions in Parameter Rich Optimization Problems. 148-155 2017 ANALCO https://doi.org/10.1137/1.9781611974775.15 conf/analco/2017 db/conf/analco/analco2017.html#BuhmannDGS17 Nico S. Gorbach Andrew An Bian Benjamin Fischer Stefan Bauer Joachim M. Buhmann Model Selection for Gaussian Process Regression. 306-318 2017 GCPR https://doi.org/10.1007/978-3-319-66709-6_25 conf/dagm/2017 db/conf/dagm/gcpr2017.html#GorbachBFBB17 Andrew An Bian Joachim M. Buhmann Andreas Krause 0001 Sebastian Tschiatschek Guarantees for Greedy Maximization of Non-submodular Functions with Applications. 498-507 2017 ICML http://proceedings.mlr.press/v70/bian17a.html conf/icml/2017 db/conf/icml/icml2017.html#BianB0T17 Gabriele Abbati Stefan Bauer Sebastian Winklhofer Peter J. Schüffler Ulrike Held Jakob M. Burgstaller Johann Steurer Joachim M. Buhmann MRI-Based Surgical Planning for Lumbar Spinal Stenosis. 116-124 2017 MICCAI (3) https://doi.org/10.1007/978-3-319-66179-7_14 conf/miccai/2017-3 db/conf/miccai/miccai2017-3.html#AbbatiBWSHBSB17 An Bian Kfir Yehuda Levy Andreas Krause 0001 Joachim M. Buhmann Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. 486-496 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/58238e9ae2dd305d79c2ebc8c1883422-Abstract.html http://papers.nips.cc/paper/6652-non-monotone-continuous-dr-submodular-maximization-structure-and-algorithms conf/nips/2017 db/conf/nips/nips2017.html#BianL0B17 Nico S. Gorbach Stefan Bauer Joachim M. Buhmann Scalable Variational Inference for Dynamical Systems. 4806-4815 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/e71e5cd119bbc5797164fb0cd7fd94a4-Abstract.html http://papers.nips.cc/paper/7066-scalable-variational-inference-for-dynamical-systems conf/nips/2017 db/conf/nips/nips2017.html#GorbachBB17 Stefan Bauer Nico S. Gorbach Ðorðe Miladinovic Joachim M. Buhmann Efficient and Flexible Inference for Stochastic Systems. 6988-6998 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/e0126439e08ddfbdf4faa952dc910590-Abstract.html http://papers.nips.cc/paper/7274-efficient-and-flexible-inference-for-stochastic-systems conf/nips/2017 db/conf/nips/nips2017.html#BauerGMB17

Andrew An Bian Joachim M. Buhmann Andreas Krause 0001 Sebastian Tschiatschek Guarantees for Greedy Maximization of Non-submodular Functions with Applications. 2017 abs/1703.02100 CoRR http://arxiv.org/abs/1703.02100 db/journals/corr/corr1703.html#BianB0T17

An Bian Kfir Y. Levy Andreas Krause 0001 Joachim M. Buhmann Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. 2017 abs/1711.02515 CoRR http://arxiv.org/abs/1711.02515 db/journals/corr/corr1711.html#abs-1711-02515

Dwarikanath Mahapatra Franciscus M. Vos Joachim M. Buhmann Active learning based segmentation of Crohns disease from abdominal MRI. 75-85 2016 128 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2016.01.014 https://www.wikidata.org/entity/Q39867246 db/journals/cmpb/cmpb128.html#MahapatraVB16

Dmitry Laptev Nikolay Savinov Joachim M. Buhmann Marc Pollefeys TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. 289-297 2016 CVPR https://doi.org/10.1109/CVPR.2016.38 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.38 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#LaptevSBP16 Yatao Bian Alexey Gronskiy Joachim M. Buhmann Information-theoretic analysis of MaxCut algorithms. 1-5 2016 ITA https://doi.org/10.1109/ITA.2016.7888176 conf/ita/2016 db/conf/ita/ita2016.html#BianGB16 Gabriel Krummenacher Brian McWilliams Yannic Kilcher Joachim M. Buhmann Nicolai Meinshausen Scalable Adaptive Stochastic Optimization Using Random Projections. 1750-1758 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/a3d68b461bd9d3533ee1dd3ce4628ed4-Abstract.html http://papers.nips.cc/paper/6054-scalable-adaptive-stochastic-optimization-using-random-projections conf/nips/2016 db/conf/nips/nips2016.html#KrummenacherMKB16

Thomas J. Fuchs Joachim M. Buhmann Computational Pathology: Challenges and Promises for Tissue Analysis. 2016 abs/1601.00027 CoRR http://arxiv.org/abs/1601.00027 db/journals/corr/corr1601.html#FuchsB16

Dmitry Laptev Nikolay Savinov Joachim M. Buhmann Marc Pollefeys TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks. 2016 abs/1604.06318 CoRR http://arxiv.org/abs/1604.06318 db/journals/corr/corr1604.html#LaptevSBP16

Stefan Bauer Nicolas Carion Peter J. Schüffler Thomas J. Fuchs Peter J. Wild Joachim M. Buhmann Multi-Organ Cancer Classification and Survival Analysis. 2016 abs/1606.00897 CoRR http://arxiv.org/abs/1606.00897 db/journals/corr/corr1606.html#BauerCSFWB16

Andrew An Bian Baharan Mirzasoleiman Joachim M. Buhmann Andreas Krause 0001 Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. 2016 abs/1606.05615 CoRR http://arxiv.org/abs/1606.05615 db/journals/corr/corr1606.html#BianMB016

Yatao Bian Alexey Gronskiy Joachim M. Buhmann Greedy MAXCUT Algorithms and their Information Content. 2016 abs/1609.00810 CoRR http://arxiv.org/abs/1609.00810 db/journals/corr/corr1609.html#BianGB16

Gabriel Krummenacher Brian McWilliams Yannic Kilcher Joachim M. Buhmann Nicolai Meinshausen Scalable Adaptive Stochastic Optimization Using Random Projections. 2016 abs/1611.06652 CoRR http://arxiv.org/abs/1611.06652 db/journals/corr/corr1611.html#KrummenacherMKB16

Andreas P. Streich Joachim M. Buhmann Asymptotic analysis of estimators on multi-label data. 373-409 2015 99 Mach. Learn. 3 https://doi.org/10.1007/s10994-014-5457-9 https://www.wikidata.org/entity/Q59431772 db/journals/ml/ml99.html#StreichB15

Ekaterina I. Lomakina Saee Paliwal 0001 Andreea Oliviana Diaconescu Kay Henning Brodersen Eduardo A. Aponte Joachim M. Buhmann Klaas E. Stephan Inversion of hierarchical Bayesian models using Gaussian processes. 133-145 2015 118 NeuroImage https://doi.org/10.1016/j.neuroimage.2015.05.084 https://www.wikidata.org/entity/Q40864023 db/journals/neuroimage/neuroimage118.html#LomakinaPDBABS15

David Balduzzi Hastagiri Vanchinathan Joachim M. Buhmann Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. 485-491 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9217 conf/aaai/2015 db/conf/aaai/aaai2015.html#BalduzziVB15 Dmitry Laptev Joachim M. Buhmann Transformation-Invariant Convolutional Jungles. 3043-3051 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298923 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298923 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#LaptevB15 Dwarikanath Mahapatra Joachim M. Buhmann A field of experts model for optic cup and disc segmentation from retinal fundus images. 218-221 2015 ISBI https://doi.org/10.1109/ISBI.2015.7163853 conf/isbi/2015 db/conf/isbi/isbi2015.html#MahapatraB15 Dwarikanath Mahapatra Peter J. Schüffler Frans Vos Joachim M. Buhmann Crohn's disease segmentation from MRI using learned image priors. 625-628 2015 ISBI https://doi.org/10.1109/ISBI.2015.7163951 conf/isbi/2015 db/conf/isbi/isbi2015.html#MahapatraSVB15 Dwarikanath Mahapatra Zhang Li Frans Vos Joachim M. Buhmann Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations. 1312-1315 2015 ISBI https://doi.org/10.1109/ISBI.2015.7164116 conf/isbi/2015 db/conf/isbi/isbi2015.html#MahapatraLVB15 Yatao Bian Alexey Gronskiy Joachim M. Buhmann Greedy MaxCut algorithms and their information content. 1-5 2015 ITW https://doi.org/10.1109/ITW.2015.7133122 conf/itw/2015 db/conf/itw/itw2015.html#BianGB15 Dwarikanath Mahapatra Joachim M. Buhmann Visual Saliency Based Active Learning for Prostate MRI Segmentation. 9-16 2015 MLMI https://doi.org/10.1007/978-3-319-24888-2_2 conf/miccai/2015mlmi db/conf/miccai/mlmi2015.html#MahapatraB15 Julian G. Zilly Joachim M. Buhmann Dwarikanath Mahapatra Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. 136-143 2015 MLMI https://doi.org/10.1007/978-3-319-24888-2_17 conf/miccai/2015mlmi db/conf/miccai/mlmi2015.html#ZillyBM15

Dwarikanath Mahapatra Joachim M. Buhmann Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts. 756-764 2014 61 IEEE Trans. Biomed. Eng. 3 https://doi.org/10.1109/TBME.2013.2289306 https://www.wikidata.org/entity/Q38441257 db/journals/tbe/tbe61.html#MahapatraB14

Dmitry Laptev Joachim M. Buhmann Convolutional Decision Trees for Feature Learning and Segmentation. 95-106 2014 GCPR https://doi.org/10.1007/978-3-319-11752-2_8 conf/dagm/2014 db/conf/dagm/gcpr2014.html#LaptevB14 Dmitry Laptev Joachim M. Buhmann SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data. 91-101 2014 Neural Connectomics http://proceedings.mlr.press/v46/laptev15.html conf/ecml/2014connectomics db/conf/ecml/connectomics2014.html#LaptevB14 Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Jesica Makanyanga Jaap Stoker Stuart A. Taylor Franciscus M. Vos Joachim M. Buhmann Active learning based segmentation of Crohn's disease using principles of visual saliency. 226-229 2014 ISBI https://doi.org/10.1109/ISBI.2014.6867850 conf/isbi/2014 db/conf/isbi/isbi2014.html#MahapatraSTMSTVB14 Dmitry Laptev A. Veznevets Joachim M. Buhmann Superslicing frame restoration for anisotropic sstem. 1198-1201 2014 ISBI https://doi.org/10.1109/ISBI.2014.6868090 conf/isbi/2014 db/conf/isbi/isbi2014.html#LaptevVB14 Guangyao Zhou Stuart Geman Joachim M. Buhmann Sparse feature selection by information theory. 926-930 2014 ISIT https://doi.org/10.1109/ISIT.2014.6874968 conf/isit/2014 db/conf/isit/isit2014.html#ZhouGB14 Alexey Gronskiy Joachim M. Buhmann How informative are Minimum Spanning Tree algorithms? 2277-2281 2014 ISIT https://doi.org/10.1109/ISIT.2014.6875239 conf/isit/2014 db/conf/isit/isit2014.html#GronskiyB14 Peter J. Schüffler Dwarikanath Mahapatra Robiel Naziroglu Zhang Li Carl A. J. Puylaert Rado Andriantsimiavona Franciscus M. Vos Doug A. Pendsé C. Yung Nio Jaap Stoker Stuart A. Taylor Joachim M. Buhmann Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. 128-138 2014 ABDI@MICCAI https://doi.org/10.1007/978-3-319-13692-9_12 conf/miccai/2014abdi db/conf/miccai/abdi2014.html#SchufflerMNLPAV14 Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Carl A. J. Puylaert Jesica C. Makanyanga Alex Menys Rado Andriantsimiavona Jaap Stoker Stuart A. Taylor Franciscus M. Vos Joachim M. Buhmann Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. 139-147 2014 ABDI@MICCAI https://doi.org/10.1007/978-3-319-13692-9_13 conf/miccai/2014abdi db/conf/miccai/abdi2014.html#MahapatraSTPMMA14 Brian McWilliams Gabriel Krummenacher Mario Lucic Joachim M. Buhmann Fast and Robust Least Squares Estimation in Corrupted Linear Models. 415-423 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/6a9aeddfc689c1d0e3b9ccc3ab651bc5-Abstract.html http://papers.nips.cc/paper/5428-fast-and-robust-least-squares-estimation-in-corrupted-linear-models conf/nips/2014 db/conf/nips/nips2014.html#McWilliamsKLB14

David Balduzzi Hastagiri Vanchinathan Joachim M. Buhmann Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks. 2014 abs/1411.6191 CoRR http://arxiv.org/abs/1411.6191 db/journals/corr/corr1411.html#BalduzziVB14

Tanja Käser Gian-Marco Baschera Alberto Giovanni Busetto Severin Klingler Barbara Solenthaler Joachim M. Buhmann Markus H. Gross Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. 59-83 2013 22 Int. J. Artif. Intell. Educ. 1-2 https://doi.org/10.3233/JAI-130026 db/journals/aiedu/aiedu22.html#KaserBBKSBG13

Alberto Giovanni Busetto Alain Hauser Gabriel Krummenacher Mikael Sunnåker Sotiris Dimopoulos Cheng Soon Ong Jörg Stelling Joachim M. Buhmann Near-optimal experimental design for model selection in systems biology. 2625-2632 2013 29 Bioinform. 20 https://doi.org/10.1093/bioinformatics/btt436 https://www.wikidata.org/entity/Q37212914 db/journals/bioinformatics/bioinformatics29.html#BusettoHKSDOSB13

Dwarikanath Mahapatra Peter Schueffler Jeroen A. W. Tielbeek Joachim M. Buhmann Franciscus M. Vos A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure. 920-931 2013 26 J. Digit. Imaging 5 https://doi.org/10.1007/s10278-013-9576-9 https://www.wikidata.org/entity/Q37196269 db/journals/jdi/jdi26.html#MahapatraSTBV13

Kay Henning Brodersen Jean Daunizeau Christoph Mathys Justin R. Chumbley Joachim M. Buhmann Klaas E. Stephan Variational Bayesian mixed-effects inference for classification studies. 345-361 2013 76 NeuroImage https://doi.org/10.1016/j.neuroimage.2013.03.008 https://www.wikidata.org/entity/Q39449126 db/journals/neuroimage/neuroimage76.html#BrodersenDMCBS13

Mario Frank 0001 Joachim M. Buhmann David A. Basin Role Mining with Probabilistic Models. 15:1-15:28 2013 15 ACM Trans. Inf. Syst. Secur. 4 https://doi.org/10.1145/2445566.2445567 db/journals/tissec/tissec15.html#FrankBB13

Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Jesica Makanyanga Jaap Stoker Stuart A. Taylor Franciscus M. Vos Joachim M. Buhmann Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI. 2332-2347 2013 32 IEEE Trans. Medical Imaging 12 https://doi.org/10.1109/TMI.2013.2282124 https://www.wikidata.org/entity/Q38444148 db/journals/tmi/tmi32.html#MahapatraSTMSTVB13

Ludwig M. Busse Morteza Haghir Chehreghani Joachim M. Buhmann Approximate Sorting. 142-152 2013 GCPR https://doi.org/10.1007/978-3-642-40602-7_15 conf/dagm/2013 db/conf/dagm/gcpr2013.html#BusseCB13 Gabriel Krummenacher Cheng Soon Ong Joachim M. Buhmann Ellipsoidal Multiple Instance Learning. 73-81 2013 ICML (2) http://proceedings.mlr.press/v28/krummenacher13.html conf/icml/2013 db/conf/icml/icml2013.html#KrummenacherOB13 Joachim M. Buhmann Matús Mihalák Rastislav Srámek Peter Widmayer Robust optimization in the presence of uncertainty. 505-514 2013 ITCS https://doi.org/10.1145/2422436.2422491 conf/innovations/2013 db/conf/innovations/innovations2013.html#BuhmannMSW13 Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Franciscus M. Vos Joachim M. Buhmann Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts. 358-361 2013 conf/isbi/2013 ISBI https://doi.org/10.1109/ISBI.2013.6556486 db/conf/isbi/isbi2013.html#MahapatraSTVB13 Dwarikanath Mahapatra Alexander Vezhnevets Peter J. Schüffler Jeroen A. W. Tielbeek Franciscus M. Vos Joachim M. Buhmann Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. 844-847 2013 conf/isbi/2013 ISBI https://doi.org/10.1109/ISBI.2013.6556607 db/conf/isbi/isbi2013.html#MahapatraVSTVB13 Dwarikanath Mahapatra Joachim M. Buhmann Automatic cardiac RV segmentation using semantic information with graph cuts. 1106-1109 2013 conf/isbi/2013 ISBI https://doi.org/10.1109/ISBI.2013.6556672 db/conf/isbi/isbi2013.html#MahapatraB13 Peter J. Schüffler Dwarikanath Mahapatra Jeroen A. W. Tielbeek Franciscus M. Vos Jesica Makanyanga Doug Pendsé C. Yung Nio Jaap Stoker Stuart A. Taylor Joachim M. Buhmann A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. 1-10 2013 Abdominal Imaging https://doi.org/10.1007/978-3-642-41083-3_1 conf/miccai/2013col db/conf/miccai/col2013.html#SchufflerMTVMPNSTB13 Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Franciscus M. Vos Joachim M. Buhmann Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. 214-221 2013 MICCAI (2) https://doi.org/10.1007/978-3-642-40763-5_27 https://www.wikidata.org/entity/Q62498007 conf/miccai/2013-2 db/conf/miccai/miccai2013-2.html#MahapatraSTVB13 Dwarikanath Mahapatra Peter J. Schüffler Jeroen A. W. Tielbeek Franciscus M. Vos Joachim M. Buhmann Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features. 86693K 2013 Image Processing https://doi.org/10.1117/12.2006698 conf/miip/2013 db/conf/miip/miip2013.html#MahapatraSTVB13 Brian McWilliams David Balduzzi Joachim M. Buhmann Correlated random features for fast semi-supervised learning. 440-448 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/839ab46820b524afda05122893c2fe8e-Abstract.html http://papers.nips.cc/paper/5000-correlated-random-features-for-fast-semi-supervised-learning conf/nips/2013 db/conf/nips/nips2013.html#McWilliamsBB13 Joachim M. Buhmann SIMBAD: Emergence of Pattern Similarity. 45-64 2013 Similarity-Based Pattern Analysis and Recognition https://doi.org/10.1007/978-1-4471-5628-4_3 series/acvpr/978-1-4471-5627-7 db/series/acvpr/simbad2013.html#Buhmann13 Volker Roth 0001 Thomas J. Fuchs Julia E. Vogt Sandhya Prabhakaran Joachim M. Buhmann Structure Preserving Embedding of Dissimilarity Data. 157-177 2013 Similarity-Based Pattern Analysis and Recognition https://doi.org/10.1007/978-1-4471-5628-4_7 series/acvpr/978-1-4471-5627-7 db/series/acvpr/simbad2013.html#RothFVPB13 Peter J. Schüffler Thomas J. Fuchs Cheng Soon Ong Volker Roth 0001 Joachim M. Buhmann Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma. 219-245 2013 Similarity-Based Pattern Analysis and Recognition https://doi.org/10.1007/978-1-4471-5628-4_9 series/acvpr/978-1-4471-5627-7 db/series/acvpr/simbad2013.html#SchufflerFORB13

Brian McWilliams David Balduzzi Joachim M. Buhmann Correlated random features for fast semi-supervised learning. 2013 CoRR http://arxiv.org/abs/1306.5554 abs/1306.5554 db/journals/corr/corr1306.html#McWilliamsBB13

Mario Frank 0001 Andreas P. Streich David A. Basin Joachim M. Buhmann Multi-Assignment Clustering for Boolean Data. 459-489 2012 13 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2503308.2188400 db/journals/jmlr/jmlr13.html#FrankSBB12

Kay Henning Brodersen Christoph Mathys Justin R. Chumbley Jean Daunizeau Cheng Soon Ong Joachim M. Buhmann Klaas E. Stephan Bayesian mixed-effects inference on classification performance in hierarchical data sets. 3133-3176 2012 13 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2503308.2503342 db/journals/jmlr/jmlr13.html#BrodersenMCDOBS12

Kay Henning Brodersen Katja Wiech Ekaterina I. Lomakina Chia-shu Lin Joachim M. Buhmann Ulrike Bingel Markus Ploner Klaas Enno Stephan Irene Tracey Decoding the perception of pain from fMRI using multivariate pattern analysis. 1162-1170 2012 63 NeuroImage 3 https://doi.org/10.1016/j.neuroimage.2012.08.035 https://www.wikidata.org/entity/Q34393585 db/journals/neuroimage/neuroimage63.html#BrodersenWLLBBPST12

Christian D. Sigg Tomas Dikk Joachim M. Buhmann Learning Dictionaries With Bounded Self-Coherence. 861-864 2012 19 IEEE Signal Process. Lett. 12 https://doi.org/10.1109/LSP.2012.2223757 db/journals/spl/spl19.html#SiggDB12

Christian D. Sigg Tomas Dikk Joachim M. Buhmann Speech Enhancement Using Generative Dictionary Learning. 1698-1712 2012 20 IEEE Trans. Speech Audio Process. 6 https://doi.org/10.1109/TASL.2012.2187194 db/journals/taslp/taslp20.html#SiggDB12

Alexander Vezhnevets Vittorio Ferrari Joachim M. Buhmann Weakly supervised structured output learning for semantic segmentation. 845-852 2012 CVPR https://doi.org/10.1109/CVPR.2012.6247757 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247757 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#VezhnevetsFB12 Alexander Vezhnevets Joachim M. Buhmann Vittorio Ferrari Active learning for semantic segmentation with expected change. 3162-3169 2012 CVPR https://doi.org/10.1109/CVPR.2012.6248050 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248050 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#VezhnevetsBF12 Franciscus M. Vos Jeroen A. W. Tielbeek Robiel E. Naziroglu Zhang Li Peter Schueffler Dwarikanath Mahapatra Alexander Wiebel Cristina Lavini Joachim M. Buhmann Hans-Christian Hege Jaap Stoker Lucas J. van Vliet Computational modeling for assessment of IBD: To be or not to be? 3974-3977 2012 EMBC https://doi.org/10.1109/EMBC.2012.6346837 https://www.wikidata.org/entity/Q51834357 conf/embc/2012 db/conf/embc/embc2012.html#VosTNLSMWLBHSV12 Joachim M. Buhmann Context Sensitive Information: Model Validation by Information Theory. 2012 ICPRAM (1) conf/icpram/2012-1 db/conf/icpram/icpram2012-1.html#Buhmann12 Ludwig M. Busse Morteza Haghir Chehreghani Joachim M. Buhmann The information content in sorting algorithms. 2746-2750 2012 ISIT https://doi.org/10.1109/ISIT.2012.6284021 conf/isit/2012 db/conf/isit/isit2012.html#BusseCB12 Dwarikanath Mahapatra Peter Schueffler Jeroen A. W. Tielbeek Joachim M. Buhmann Franciscus M. Vos A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. 97-106 2012 Abdominal Imaging https://doi.org/10.1007/978-3-642-33612-6_11 conf/miccai/2012col db/conf/miccai/col2012.html#MahapatraSTBV12 Dwarikanath Mahapatra Joachim M. Buhmann Cardiac LV and RV Segmentation Using Mutual Context Information. 201-209 2012 MLMI https://doi.org/10.1007/978-3-642-35428-1_25 conf/miccai/2012mlmi db/conf/miccai/mlmi2012.html#MahapatraB12 Dmitry Laptev Alexander Vezhnevets Sarvesh Dwivedi Joachim M. Buhmann Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. 323-330 2012 MICCAI (1) https://doi.org/10.1007/978-3-642-33415-3_40 https://www.wikidata.org/entity/Q85833671 conf/miccai/2012-1 db/conf/miccai/miccai2012-1.html#LaptevVDB12 Joachim M. Buhmann Morteza Haghir Chehreghani Mario Frank 0001 Andreas P. Streich Information Theoretic Model Selection for Pattern Analysis. 51-64 ICML Unsupervised and Transfer Learning conf/icml/2011utl 2012 http://proceedings.mlr.press/v27/buhmann12a.html db/journals/jmlr/jmlrp27.html#BuhmannCFS12 Morteza Haghir Chehreghani Alberto Giovanni Busetto Joachim M. Buhmann Information Theoretic Model Validation for Spectral Clustering. 495-503 AISTATS 2012 conf/aistats/2012 http://proceedings.mlr.press/v22/haghir12.html db/journals/jmlr/jmlrp22.html#ChehreghaniBB12

Christian D. Sigg Tomas Dikk Joachim M. Buhmann Learning Dictionaries with Bounded Self-Coherence http://arxiv.org/abs/1205.6210 2012 CoRR abs/1205.6210 db/journals/corr/corr1205.html#abs-1205-6210

Mario Frank 0001 Joachim M. Buhmann David A. Basin Role Mining with Probabilistic Models http://arxiv.org/abs/1212.4775 2012 CoRR abs/1212.4775 db/journals/corr/corr1212.html#abs-1212-4775

Thomas J. Fuchs Joachim M. Buhmann Computational pathology: Challenges and promises for tissue analysis. 515-530 2011 35 Comput. Medical Imaging Graph. 7-8 https://doi.org/10.1016/j.compmedimag.2011.02.006 https://www.wikidata.org/entity/Q39761866 db/journals/cmig/cmig35.html#FuchsB11

Manfred Claassen Ruedi Aebersold Joachim M. Buhmann Proteome Coverage Prediction for Integrated Proteomics Datasets. 283-293 2011 18 J. Comput. Biol. 3 https://doi.org/10.1089/cmb.2010.0261 https://www.wikidata.org/entity/Q39774291 db/journals/jcb/jcb18.html#ClaassenAB11

Kay Henning Brodersen Florent Haiss Cheng Soon Ong Fabienne Jung Marc Tittgemeyer Joachim M. Buhmann Bruno Weber Klaas E. Stephan Model-based feature construction for multivariate decoding. 601-615 2011 56 NeuroImage 2 https://doi.org/10.1016/j.neuroimage.2010.04.036 https://www.wikidata.org/entity/Q30501015 db/journals/neuroimage/neuroimage56.html#BrodersenHOJTBWS11

Kay Henning Brodersen Thomas M. Schofield Alexander P. Leff Cheng Soon Ong Ekaterina I. Lomakina Joachim M. Buhmann Klaas E. Stephan Generative Embedding for Model-Based Classification of fMRI Data. 2011 7 PLoS Comput. Biol. 6 https://doi.org/10.1371/journal.pcbi.1002079 https://www.wikidata.org/entity/Q30000950 db/journals/ploscb/ploscb7.html#BrodersenSLOLBS11

Gian-Marco Baschera Alberto Giovanni Busetto Severin Klingler Joachim M. Buhmann Markus H. Gross Modeling Engagement Dynamics in Spelling Learning. 31-38 2011 AIED https://doi.org/10.1007/978-3-642-21869-9_7 conf/aied/2011 db/conf/aied/aied2011.html#BascheraBKBG11 Alexander Vezhnevets Joachim M. Buhmann Agnostic Domain Adaptation. 376-385 2011 DAGM-Symposium https://doi.org/10.1007/978-3-642-23123-0_38 conf/dagm/2011 db/conf/dagm/dagm2011.html#VezhnevetsB11 Judith Zimmermann Kay Henning Brodersen Jean-Philippe Pellet Elias August Joachim M. Buhmann Predicting Graduate-level Performance from Undergraduate Achievements. 357-358 2011 EDM http://educationaldatamining.org/EDM2011/wp-content/uploads/proc/edm2011_poster20_Zimmermann.pdf conf/edm/2011 db/conf/edm/edm2011.html#ZimmermannBPAB11 Alexander Vezhnevets Vittorio Ferrari Joachim M. Buhmann Weakly supervised semantic segmentation with a multi-image model. 643-650 2011 ICCV https://doi.org/10.1109/ICCV.2011.6126299 https://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126299 conf/iccv/2011 db/conf/iccv/iccv2011.html#VezhnevetsFB11 Mario Frank 0001 Joachim M. Buhmann Selecting the rank of truncated SVD by maximum approximation capacity. 1036-1040 2011 ISIT https://doi.org/10.1109/ISIT.2011.6033687 conf/isit/2011 db/conf/isit/isit2011.html#FrankB11 Joachim M. Buhmann Context Sensitive Information: Model Validation by Information Theory. 12-21 2011 MCPR https://doi.org/10.1007/978-3-642-21587-2_2 conf/mcpr2/2011 db/conf/mcpr2/mcpr2011.html#Buhmann11 Mario Frank 0001 Morteza Haghir Chehreghani Joachim M. Buhmann The Minimum Transfer Cost Principle for Model-Order Selection. 423-438 2011 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-23780-5_37 conf/pkdd/2011-1 db/conf/pkdd/pkdd2011-1.html#FrankCB11 Ludwig M. Busse Joachim M. Buhmann Model-Based Clustering of Inhomogeneous Paired Comparison Data. 207-221 2011 SIMBAD https://doi.org/10.1007/978-3-642-24471-1_15 conf/simbad/2011 db/conf/simbad/simbad2011.html#BusseB11

Mario Frank 0001 Joachim M. Buhmann Selecting the rank of SVD by Maximum Approximation Capacity http://arxiv.org/abs/1102.3176 2011 CoRR abs/1102.3176 db/journals/corr/corr1102.html#abs-1102-3176

Sudhir Raman Thomas J. Fuchs Peter J. Wild Edgar Dahl Joachim M. Buhmann Volker Roth 0001 Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. S8 2010 11 BMC Bioinform. S-8 https://doi.org/10.1186/1471-2105-11-S8-S8 https://www.wikidata.org/entity/Q33733618 db/journals/bmcbi/bmcbi11S.html#RamanFWDBR10

Björn Ommer Joachim M. Buhmann Learning the Compositional Nature of Visual Object Categories for Recognition. 501-516 2010 32 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2009.22 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2009.22 https://www.wikidata.org/entity/Q46578565 db/journals/pami/pami32.html#OmmerB10

Verena Kaynig Thomas J. Fuchs Joachim M. Buhmann Neuron geometry extraction by perceptual grouping in ssTEM images. 2902-2909 2010 CVPR https://doi.org/10.1109/CVPR.2010.5540029 https://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540029 https://www.wikidata.org/entity/Q57011567 conf/cvpr/2010 db/conf/cvpr/cvpr2010.html#KaynigFB10 Alexander Vezhnevets Joachim M. Buhmann Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. 3249-3256 2010 CVPR https://doi.org/10.1109/CVPR.2010.5540060 https://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5540060 conf/cvpr/2010 db/conf/cvpr/cvpr2010.html#VezhnevetsB10 Peter J. Schüffler Thomas J. Fuchs Cheng Soon Ong Volker Roth 0001 Joachim M. Buhmann Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. 202-211 2010 DAGM-Symposium https://doi.org/10.1007/978-3-642-15986-2_21 conf/dagm/2010 db/conf/dagm/dagm2010.html#SchufflerFORB10 Yvonne Moh Joachim M. Buhmann Regularized online learning of pseudometrics. 1990-1993 2010 ICASSP https://doi.org/10.1109/ICASSP.2010.5495245 conf/icassp/2010 db/conf/icassp/icassp2010.html#MohB10 Christian D. Sigg Tomas Dikk Joachim M. Buhmann Speech enhancement with sparse coding in learned dictionaries. 4758-4761 2010 ICASSP https://doi.org/10.1109/ICASSP.2010.5495157 conf/icassp/2010 db/conf/icassp/icassp2010.html#SiggDB10 Kay Henning Brodersen Cheng Soon Ong Klaas Enno Stephan Joachim M. Buhmann The Balanced Accuracy and Its Posterior Distribution. 3121-3124 2010 ICPR https://doi.org/10.1109/ICPR.2010.764 https://doi.ieeecomputersociety.org/10.1109/ICPR.2010.764 https://www.wikidata.org/entity/Q57259909 conf/icpr/2010 db/conf/icpr/icpr2010.html#BrodersenOSB10 Kay Henning Brodersen Cheng Soon Ong Klaas Enno Stephan Joachim M. Buhmann The Binormal Assumption on Precision-Recall Curves. 4263-4266 2010 ICPR https://doi.org/10.1109/ICPR.2010.1036 https://doi.ieeecomputersociety.org/10.1109/ICPR.2010.1036 conf/icpr/2010 db/conf/icpr/icpr2010.html#BrodersenOSB10a Joachim M. Buhmann Information theoretic model validation for clustering. 1398-1402 2010 ISIT https://doi.org/10.1109/ISIT.2010.5513616 conf/isit/2010 db/conf/isit/isit2010.html#Buhmann10 Verena Kaynig Thomas J. Fuchs Joachim M. Buhmann Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. 209-216 2010 MICCAI (2) https://doi.org/10.1007/978-3-642-15745-5_26 https://www.wikidata.org/entity/Q57011553 conf/miccai/2010-2 db/conf/miccai/miccai2010-2.html#KaynigFB10 Patrick Pletscher Cheng Soon Ong Joachim M. Buhmann Entropy and Margin Maximization for Structured Output Learning. 83-98 2010 ECML/PKDD (3) https://doi.org/10.1007/978-3-642-15939-8_6 conf/pkdd/2010-3 db/conf/pkdd/pkdd2010-3.html#PletscherOB10 Manfred Claassen Ruedi Aebersold Joachim M. Buhmann Proteome Coverage Prediction for Integrated Proteomics Datasets. 96-109 2010 RECOMB https://doi.org/10.1007/978-3-642-12683-3_7 conf/recomb/2010 db/conf/recomb/recomb2010.html#ClaassenAB10 Mario Frank 0001 Joachim M. Buhmann David A. Basin On the definition of role mining. 35-44 2010 SACMAT https://doi.org/10.1145/1809842.1809851 conf/sacmat/2010 db/conf/sacmat/sacmat2010.html#FrankBB10

Joachim M. Buhmann Information theoretic model validation for clustering http://arxiv.org/abs/1006.0375 2010 CoRR abs/1006.0375 db/journals/corr/corr1006.html#abs-1006-0375

Bernd Fischer 0003 Volker Roth 0001 Joachim M. Buhmann Adaptive bandwidth selection for biomarker discovery in mass spectrometry. 207-214 2009 45 Artif. Intell. Medicine 2-3 https://doi.org/10.1016/j.artmed.2008.08.010 https://www.wikidata.org/entity/Q82208936 db/journals/artmed/artmed45.html#FischerRB09

Manfred Claassen Ruedi Aebersold Joachim M. Buhmann Proteome coverage prediction with infinite Markov models. 2009 25 Bioinform. 12 https://doi.org/10.1093/bioinformatics/btp233 https://www.wikidata.org/entity/Q37206405 db/journals/bioinformatics/bioinformatics25.html#ClaassenAB09

Björn Ommer Theodor Mader Joachim M. Buhmann Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. 57-71 2009 83 Int. J. Comput. Vis. 1 https://doi.org/10.1007/s11263-009-0211-7 db/journals/ijcv/ijcv83.html#OmmerMB09

Mario Frank 0001 Andreas P. Streich David A. Basin Joachim M. Buhmann A probabilistic approach to hybrid role mining. 101-111 2009 CCS https://doi.org/10.1145/1653662.1653675 conf/ccs/2009 db/conf/ccs/ccs2009.html#FrankSBB09 Alberto Giovanni Busetto Joachim M. Buhmann Stable Bayesian Parameter Estimation for Biological Dynamical Systems. 148-157 2009 CSE (1) https://doi.org/10.1109/CSE.2009.134 https://doi.ieeecomputersociety.org/10.1109/CSE.2009.134 https://www.wikidata.org/entity/Q60228531 conf/cse/2009 db/conf/cse/cse2009-1.html#BusettoB09 Yvonne Moh Joachim M. Buhmann Manifold regularization for semi-supervised sequential learning. 1617-1620 2009 ICASSP https://doi.org/10.1109/ICASSP.2009.4959909 https://doi.ieeecomputersociety.org/10.1109/ICASSP.2009.4959909 conf/icassp/2009 db/conf/icassp/icassp2009.html#MohB09 Thomas J. Fuchs Joachim M. Buhmann Inter-active learning of randomized tree ensembles for object detection. 1370-1377 2009 ICCV Workshops https://doi.org/10.1109/ICCVW.2009.5457452 https://doi.ieeecomputersociety.org/10.1109/ICCVW.2009.5457452 conf/iccvw/2009 db/conf/iccvw/iccvw2009.html#FuchsB09 Alberto Giovanni Busetto Cheng Soon Ong Joachim M. Buhmann Optimized expected information gain for nonlinear dynamical systems. 97-104 2009 ICML https://doi.org/10.1145/1553374.1553387 conf/icml/2009 db/conf/icml/icml2009.html#BusettoOB09 Andreas P. Streich Mario Frank 0001 David A. Basin Joachim M. Buhmann Multi-assignment clustering for Boolean data. 969-976 2009 ICML https://doi.org/10.1145/1553374.1553498 conf/icml/2009 db/conf/icml/icml2009.html#StreichFBB09 Thomas J. Fuchs Johannes Haybaeck Peter J. Wild Mathias Heikenwalder Holger Moch Adriano Aguzzi Joachim M. Buhmann Randomized Tree Ensembles for Object Detection in Computational Pathology. 367-378 2009 ISVC (1) https://doi.org/10.1007/978-3-642-10331-5_35 https://www.wikidata.org/entity/Q57083627 conf/isvc/2009-1 db/conf/isvc/isvc2009-1.html#FuchsHWHMAB09 Xenofon E. Floros Thomas J. Fuchs Markus P. Rechsteiner Giatgen Spinas Holger Moch Joachim M. Buhmann Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue. 633-640 2009 MICCAI (1) https://doi.org/10.1007/978-3-642-04271-3_77 https://www.wikidata.org/entity/Q62499589 conf/miccai/2009-2 db/conf/miccai/miccai2009-2.html#FlorosFRSMB09 Alberto Giovanni Busetto Joachim M. Buhmann Structure Identification by Optimized Interventions. 57-64 AISTATS 2009 conf/aistats/2009 http://proceedings.mlr.press/v5/busetto09a.html db/journals/jmlr/jmlrp5.html#BusettoB09 Patrick Pletscher Cheng Soon Ong Joachim M. Buhmann Spanning Tree Approximations for Conditional Random Fields. 408-415 AISTATS 2009 conf/aistats/2009 http://proceedings.mlr.press/v5/pletscher09a.html db/journals/jmlr/jmlrp5.html#PletscherOB09

Peter Orbanz Joachim M. Buhmann Nonparametric Bayesian Image Segmentation. 25-45 2008 77 Int. J. Comput. Vis. 1-3 https://doi.org/10.1007/s11263-007-0061-0 db/journals/ijcv/ijcv77.html#OrbanzB08

Mikio L. Braun Joachim M. Buhmann Klaus-Robert Müller On Relevant Dimensions in Kernel Feature Spaces. 1875-1908 2008 9 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1390681.1442795 db/journals/jmlr/jmlr9.html#BraunBM08

Mario Frank 0001 David A. Basin Joachim M. Buhmann A class of probabilistic models for role engineering. 299-310 2008 CCS https://doi.org/10.1145/1455770.1455809 conf/ccs/2008 db/conf/ccs/ccs2008.html#FrankBB08 Verena Kaynig Bernd Fischer 0003 Joachim M. Buhmann Probabilistic image registration and anomaly detection by nonlinear warping. 2008 CVPR https://doi.org/10.1109/CVPR.2008.4587743 https://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587743 https://www.wikidata.org/entity/Q57011575 conf/cvpr/2008 db/conf/cvpr/cvpr2008.html#KaynigFB08 Thomas J. Fuchs Tilman Lange Peter J. Wild Holger Moch Joachim M. Buhmann Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma. 173-182 2008 DAGM-Symposium https://doi.org/10.1007/978-3-540-69321-5_18 conf/dagm/2008 db/conf/dagm/dagm2008.html#FuchsLWMB08 Yvonne Moh Wolfgang Einhäuser Joachim M. Buhmann Automatic Detection of Learnability under Unreliable and Sparse User Feedback. 224-233 2008 DAGM-Symposium https://doi.org/10.1007/978-3-540-69321-5_23 https://www.wikidata.org/entity/Q63952220 conf/dagm/2008 db/conf/dagm/dagm2008.html#MohEB08 Yvonne Moh Peter Orbanz Joachim M. Buhmann Music preference learning with partial information. 2021-2024 2008 ICASSP https://doi.org/10.1109/ICASSP.2008.4518036 conf/icassp/2008 db/conf/icassp/icassp2008.html#MohOB08 Christian D. Sigg Joachim M. Buhmann Expectation-maximization for sparse and non-negative PCA. 960-967 2008 ICML https://doi.org/10.1145/1390156.1390277 conf/icml/2008 db/conf/icml/icml2008.html#SiggB08 Yvonne Moh Joachim M. Buhmann Kernel Expansion for Online Preference Tracking. 167-172 2008 ISMIR http://ismir2008.ismir.net/papers/ISMIR2008_119.pdf conf/ismir/2008 db/conf/ismir/ismir2008.html#MohB08 Thomas J. Fuchs Peter J. Wild Holger Moch Joachim M. Buhmann Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients. 1-8 2008 MICCAI (2) https://doi.org/10.1007/978-3-540-85990-1_1 https://www.wikidata.org/entity/Q79783605 conf/miccai/2008-2 db/conf/miccai/miccai2008-2.html#FuchsWMB08 Andreas P. Streich Joachim M. Buhmann Classification of Multi-labeled Data: A Generative Approach. 390-405 2008 ECML/PKDD (2) https://doi.org/10.1007/978-3-540-87481-2_26 conf/pkdd/2008-2 db/conf/pkdd/pkdd2008-2.html#StreichB08

Franz F. Roos Riko Jacob Jonas Grossmann Bernd Fischer 0003 Joachim M. Buhmann Wilhelm Gruissem Sacha Baginsky Peter Widmayer PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra. 3016-3023 2007 23 Bioinform. 22 https://doi.org/10.1093/bioinformatics/btm417 https://www.wikidata.org/entity/Q48386169 db/journals/bioinformatics/bioinformatics23.html#RoosJGFBGBW07

Bernd Fischer 0003 Volker Roth 0001 Joachim M. Buhmann Time-series alignment by non-negative multiple generalized canonical correlation analysis. 2007 8 BMC Bioinform. S-10 https://doi.org/10.1186/1471-2105-8-S10-S4 https://www.wikidata.org/entity/Q30497034 db/journals/bmcbi/bmcbi8S.html#FischerRB07

Thomas Zöller Joachim M. Buhmann Robust Image Segmentation Using Resampling and Shape Constraints. 1147-1164 2007 29 IEEE Trans. Pattern Anal. Mach. Intell. 7 https://doi.org/10.1109/TPAMI.2007.1150 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.1150 https://www.wikidata.org/entity/Q38397401 db/journals/pami/pami29.html#ZollerB07

Björn Ommer Joachim M. Buhmann Learning the Compositional Nature of Visual Objects. 2007 conf/cvpr/2007 CVPR https://doi.org/10.1109/CVPR.2007.383154 https://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383154 db/conf/cvpr/cvpr2007.html#OmmerB07 Tilman Lange Joachim M. Buhmann Regularized Data Fusion Improves Image Segmentation. 234-243 2007 conf/dagm/2007 DAGM-Symposium https://doi.org/10.1007/978-3-540-74936-3_24 db/conf/dagm/dagm2007.html#LangeB07 Tilman Lange Joachim M. Buhmann Kernel-Based Grouping of Histogram Data. 632-639 2007 conf/ecml/2007 ECML https://doi.org/10.1007/978-3-540-74958-5_62 db/conf/ecml/ecml2007.html#LangeB07 Björn Ommer Joachim M. Buhmann Compositional Object Recognition, Segmentation, and Tracking in Video. 318-333 2007 conf/emmcvpr/2007 EMMCVPR https://doi.org/10.1007/978-3-540-74198-5_25 db/conf/emmcvpr/emmcvpr2007.html#OmmerB07 Peter Orbanz Samuel Braendle Joachim M. Buhmann Bayesian Order-Adaptive Clustering for Video Segmentation. 334-349 2007 conf/emmcvpr/2007 EMMCVPR https://doi.org/10.1007/978-3-540-74198-5_26 db/conf/emmcvpr/emmcvpr2007.html#OrbanzBB07 Ludwig M. Busse Peter Orbanz Joachim M. Buhmann Cluster analysis of heterogeneous rank data. 113-120 2007 conf/icml/2007 ICML https://doi.org/10.1145/1273496.1273511 db/conf/icml/icml2007.html#BusseOB07 Joachim M. Buhmann Complex Statistical Models for Object Recognition and Mass Spectrometry. 3-8 2007 conf/pris/2007 PRIS db/conf/pris/pris2007.html#Buhmann07 Bernd Fischer 0003 Volker Roth 0001 Joachim M. Buhmann Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis. 505-511 2007 conf/wilf/2007 WILF https://doi.org/10.1007/978-3-540-73400-0_64 db/conf/wilf/wilf2007.html#FischerRB07

Julian Laub Volker Roth 0001 Joachim M. Buhmann Klaus-Robert Müller On the information and representation of non-Euclidean pairwise data. 1815-1826 2006 39 Pattern Recognit. 10 https://doi.org/10.1016/j.patcog.2006.04.016 db/journals/pr/pr39.html#LaubRBM06

Björn Ommer Michael Sauter Joachim M. Buhmann Learning Top-Down Grouping of Compositional Hierarchies for Recognition. 194 2006 CVPR Workshops https://doi.org/10.1109/CVPRW.2006.118 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2006.118 conf/cvpr/2006w db/conf/cvpr/cvprw2006.html#OmmerSB06 Andrew Rabinovich Serge J. Belongie Tilman Lange Joachim M. Buhmann Model Order Selection and Cue Combination for Image Segmentation. 1130-1137 2006 conf/cvpr/2006 CVPR (1) https://doi.org/10.1109/CVPR.2006.186 https://doi.ieeecomputersociety.org/10.1109/CVPR.2006.186 db/conf/cvpr/cvpr2006.html#RabinovichBLB06 Mikio L. Braun Tilman Lange Joachim M. Buhmann Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information. 344-353 2006 conf/dagm/2006 DAGM-Symposium https://doi.org/10.1007/11861898_35 db/conf/dagm/dagm2006.html#BraunLB06 Hansruedi Peter Bernd Fischer 0003 Joachim M. Buhmann Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions. 424-433 2006 conf/dagm/2006 DAGM-Symposium https://doi.org/10.1007/11861898_43 db/conf/dagm/dagm2006.html#PeterFB06 Peter Wey Bernd Fischer 0003 Herbert Bay Joachim M. Buhmann Dense Stereo by Triangular Meshing and Cross Validation. 708-717 2006 conf/dagm/2006 DAGM-Symposium https://doi.org/10.1007/11861898_71 db/conf/dagm/dagm2006.html#WeyFBB06 Björn Ommer Joachim M. Buhmann Learning Compositional Categorization Models. 316-329 2006 conf/eccv/2006-3 ECCV (3) https://doi.org/10.1007/11744078_25 db/conf/eccv/eccv2006-3.html#OmmerB06 Peter Orbanz Joachim M. Buhmann Smooth Image Segmentation by Nonparametric Bayesian Inference. 444-457 2006 conf/eccv/2006-1 ECCV (1) https://doi.org/10.1007/11744023_35 db/conf/eccv/eccv2006-1.html#OrbanzB06 Isabelle Guyon Amir Reza Saffari Azar Alamdari Gideon Dror Joachim M. Buhmann PerformancePrediction Challenge. 1649-1656 2006 IJCNN https://doi.org/10.1109/IJCNN.2006.246632 conf/ijcnn/2006 db/conf/ijcnn/ijcnn2006.html#GuyonADB06 Bernd Fischer 0003 Jonas Grossmann Volker Roth 0001 Wilhelm Gruissem Sacha Baginsky Joachim M. Buhmann Semi-supervised LC/MS alignment for differential proteomics. 132-140 2006 conf/ismb/2006 ISMB (Supplement of Bioinformatics) https://doi.org/10.1093/bioinformatics/btl219 https://www.wikidata.org/entity/Q59303712 db/conf/ismb/ismb2006.html#FischerGRGBB06 Mikio L. Braun Joachim M. Buhmann Klaus-Robert Müller Denoising and Dimension Reduction in Feature Space. 185-192 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/fedf67d6f3d7341c1c1e8a54774987d3-Abstract.html http://papers.nips.cc/paper/3067-denoising-and-dimension-reduction-in-feature-space db/conf/nips/nips2006.html#BraunBM06

Joachim M. Buhmann Tilman Lange Ulrich Ramacher Image Segmentation by Networks of Spiking Neurons. 1010-1031 2005 17 Neural Comput. 5 https://doi.org/10.1162/0899766053491913 https://www.wikidata.org/entity/Q47862713 db/journals/neco/neco17.html#BuhmannLR05

Tilman Lange Martin H. C. Law Anil K. Jain 0001 Joachim M. Buhmann Learning with Constrained and Unlabelled Data. 731-738 2005 conf/cvpr/2005 CVPR (1) https://doi.org/10.1109/CVPR.2005.210 https://doi.ieeecomputersociety.org/10.1109/CVPR.2005.210 db/conf/cvpr/cvpr2005.html#LangeLJB05 Björn Ommer Joachim M. Buhmann Object Categorization by Compositional Graphical Models. 235-250 2005 conf/emmcvpr/2005 EMMCVPR https://doi.org/10.1007/11585978_16 db/conf/emmcvpr/emmcvpr2005.html#OmmerB05 Peter Orbanz Joachim M. Buhmann SAR images as mixtures of Gaussian mixtures. 209-212 2005 conf/icip/2005 ICIP (2) https://doi.org/10.1109/ICIP.2005.1530028 db/conf/icip/icip2005-2.html#OrbanzB05 Tilman Lange Joachim M. Buhmann Combining partitions by probabilistic label aggregation. 147-156 2005 conf/kdd/2005 KDD https://doi.org/10.1145/1081870.1081890 db/conf/kdd/kdd2005.html#LangeB05 Tilman Lange Joachim M. Buhmann Fusion of Similarity Data in Clustering. 2005 conf/nips/2005 NIPS https://proceedings.neurips.cc/paper/2005/hash/c61f571dbd2fb949d3fe5ae1608dd48b-Abstract.html http://papers.nips.cc/paper/2880-fusion-of-similarity-data-in-clustering db/conf/nips/nips2005.html#LangeB05 723-730

Tilman Lange Volker Roth 0001 Mikio L. Braun Joachim M. Buhmann Stability-Based Validation of Clustering Solutions. 1299-1323 2004 16 Neural Comput. 6 https://doi.org/10.1162/089976604773717621 https://www.wikidata.org/entity/Q51998065 db/journals/neco/neco16.html#LangeRBB04

Lothar Hermes Joachim M. Buhmann Boundary-constrained agglomerative segmentation. 1984-1995 2004 42 IEEE Trans. Geosci. Remote. Sens. 9 https://doi.org/10.1109/TGRS.2004.832849 db/journals/tgrs/tgrs42.html#HermesB04

Thomas Zöller Joachim M. Buhmann Shape Constrained Image Segmentation by Parametric Distributional Clustering. 386-393 2004 conf/cvpr/2004 CVPR (1) https://doi.ieeecomputersociety.org/10.1109/CVPR.2004.228 db/conf/cvpr/cvpr2004.html#ZollerB04 Anil K. Jain 0001 Alexander P. Topchy Martin H. C. Law Joachim M. Buhmann Landscape of Clustering Algorithms. 260-263 2004 conf/icpr/2004 ICPR (1) https://doi.org/10.1109/ICPR.2004.1334073 https://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334073 db/conf/icpr/icpr2004-1.html#JainTLB04 Bernd Fischer 0003 Volker Roth 0001 Joachim M. Buhmann Jonas Grossmann Sacha Baginsky Wilhelm Gruissem Franz F. Roos Peter Widmayer A Hidden Markov Model for de Novo Peptide Sequencing. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/5ac8bb8a7d745102a978c5f8ccdb61b8-Abstract.html http://papers.nips.cc/paper/2668-a-hidden-markov-model-for-de-novo-peptide-sequencing db/conf/nips/nips2004.html#FischerRBGBGRW04 457-464 Joachim M. Buhmann Clustering in Computer Vision and Data Analysis. 3 2004 conf/pris/2004 PRIS db/conf/pris/pris2004.html#Buhmann04

Bernd Fischer 0003 Joachim M. Buhmann Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation. 513-518 2003 25 IEEE Trans. Pattern Anal. Mach. Intell. 4 https://doi.org/10.1109/TPAMI.2003.1190577 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1190577 db/journals/pami/pami25.html#FischerB03

Bernd Fischer 0003 Joachim M. Buhmann Bagging for Path-Based Clustering. 1411-1415 2003 25 IEEE Trans. Pattern Anal. Mach. Intell. 11 https://doi.org/10.1109/TPAMI.2003.1240115 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1240115 db/journals/pami/pami25.html#FischerB03a

Volker Roth 0001 Julian Laub Motoaki Kawanabe Joachim M. Buhmann Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. 1540-1551 2003 25 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2003.1251147 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1251147 db/journals/pami/pami25.html#RothLKB03

Lothar Hermes Joachim M. Buhmann A minimum entropy approach to adaptive image polygonization. 1243-1258 2003 12 IEEE Trans. Image Process. 10 https://doi.org/10.1109/TIP.2003.817240 https://www.wikidata.org/entity/Q51895451 db/journals/tip/tip12.html#HermesB03

Wei-Jun Chen Joachim M. Buhmann A New Distance Measure for Probabilistic Shape Modeling. 507-514 https://doi.org/10.1007/978-3-540-45243-0_65 2003 conf/dagm/2003 DAGM-Symposium db/conf/dagm/dagm2003.html#ChenB03 Lothar Hermes Joachim M. Buhmann Semi-supervised Image Segmentation by Parametric Distributional Clustering. 229-245 https://doi.org/10.1007/978-3-540-45063-4_15 2003 conf/emmcvpr/2003 EMMCVPR db/conf/emmcvpr/emmcvpr2003.html#HermesB03 Björn Ommer Joachim M. Buhmann A Compositionally Architecture for Perceptual Feature Grouping. 275-290 https://doi.org/10.1007/978-3-540-45063-4_18 2003 conf/emmcvpr/2003 EMMCVPR db/conf/emmcvpr/emmcvpr2003.html#OmmerB03 Bernd Fischer 0003 Volker Roth 0001 Joachim M. Buhmann Clustering with the Connectivity Kernel. 2003 conf/nips/2003 NIPS https://proceedings.neurips.cc/paper/2003/hash/cc0991344c3d760ae42259064406bae1-Abstract.html http://papers.nips.cc/paper/2428-clustering-with-the-connectivity-kernel db/conf/nips/nips2003.html#FischerRB03 89-96

Zvika Marx Ido Dagan Joachim M. Buhmann Eli Shamir 0001 Coupled Clustering: A Method for Detecting Structural Correspondence. 747-780 2002 3 J. Mach. Learn. Res. https://jmlr.org/papers/v3/marx02a.html db/journals/jmlr/jmlr3.html#MarxDBS02

Volker Roth 0001 Tilman Lange Mikio L. Braun Joachim M. Buhmann A Resampling Approach to Cluster Validation. 123-128 2002 COMPSTAT https://doi.org/10.1007/978-3-642-57489-4_13 conf/compstat/2002 db/conf/compstat/compstat2002.html#0001LBB02 Bernd Fischer 0003 Joachim M. Buhmann Data Resampling for Path Based Clustering. 206-214 2002 conf/dagm/2002 DAGM-Symposium https://doi.org/10.1007/3-540-45783-6_26 db/conf/dagm/dagm2002.html#FischerB02 Lothar Hermes Thomas Zöller Joachim M. Buhmann Parametric Distributional Clustering for Image Segmentation. 577-591 2002 conf/eccv/2002-3 ECCV (3) https://doi.org/10.1007/3-540-47977-5_38 db/conf/eccv/eccv2002-3.html#HermesZB02 Volker Roth 0001 Mikio L. Braun Tilman Lange Joachim M. Buhmann Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. 607-612 2002 conf/icann/2002 ICANN https://doi.org/10.1007/3-540-46084-5_99 db/conf/icann/icann2002.html#RothBLB02 Thomas Zöller Lothar Hermes Joachim M. Buhmann Combined Color And Texture Segmentation by Parametric Distributional Clustering. 627-630 2002 conf/icpr/2002 ICPR (2) https://doi.org/10.1109/ICPR.2002.1048380 https://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048380 db/conf/icpr/icpr2002-2.html#ZollerHB02 Tilman Lange Mikio L. Braun Volker Roth 0001 Joachim M. Buhmann Stability-Based Model Selection. 617-624 2002 conf/nips/2002 NIPS https://proceedings.neurips.cc/paper/2002/hash/37d097caf1299d9aa79c2c2b843d2d78-Abstract.html http://papers.nips.cc/paper/2139-stability-based-model-selection db/conf/nips/nips2002.html#LangeBRB02 Volker Roth 0001 Julian Laub Joachim M. Buhmann Klaus-Robert Müller Going Metric: Denoising Pairwise Data. 817-824 2002 conf/nips/2002 NIPS https://proceedings.neurips.cc/paper/2002/hash/02e656adee09f8394b402d9958389b7d-Abstract.html http://papers.nips.cc/paper/2215-going-metric-denoising-pairwise-data db/conf/nips/nips2002.html#RothLBM02

Yossi Rubner Jan Puzicha Carlo Tomasi Joachim M. Buhmann Empirical Evaluation of Dissimilarity Measures for Color and Texture. 25-43 2001 84 Comput. Vis. Image Underst. 1 https://doi.org/10.1006/cviu.2001.0934 db/journals/cviu/cviu84.html#RubnerPTB01

Lothar Hermes Joachim M. Buhmann Contextual Classification by Entropy-Based Polygonization. II:442-447 2001 conf/cvpr/2001 CVPR (2) https://doi.org/10.1109/CVPR.2001.990995 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990995 db/conf/cvpr/cvpr2001.html#HermesB01 Markus Suing Lothar Hermes Joachim M. Buhmann A New Contour-Based Approach to Object Recognition for Assembly Line Robots. 329-336 2001 conf/dagm/2001 DAGM-Symposium https://doi.org/10.1007/3-540-45404-7_44 db/conf/dagm/dagm2001.html#SuingHB01 Bernd Fischer 0003 Thomas Zöller Joachim M. Buhmann Path Based Pairwise Data Clustering with Application to Texture Segmentation. 235-250 2001 conf/emmcvpr/2001 EMMCVPR https://doi.org/10.1007/3-540-44745-8_16 db/conf/emmcvpr/emmcvpr2001.html#FischerZB01 Bjoern Stenger Visvanathan Ramesh Nikos Paragios Frans Coetzee Joachim M. Buhmann Topology Free Hidden Markov Models: Application to Background Modeling. 294-301 2001 conf/iccv/2001 ICCV db/conf/iccv/iccv2001-1.html#StengerRPCB01 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.10008 Zvika Marx Ido Dagan Joachim M. Buhmann Coupled Clustering: a Method for Detecting Structural Correspondence. 353-360 2001 conf/icml/2001 ICML db/conf/icml/icml2001.html#MarxDB01 Mikio L. Braun Joachim M. Buhmann The Noisy Euclidean Traveling Salesman Problem and Learning. 351-358 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/06b1338ba02add2b5d2da67663b19ebe-Abstract.html http://papers.nips.cc/paper/2049-the-noisy-euclidean-traveling-salesman-problem-and-learning db/conf/nips/nips2001.html#BraunB01

Zvika Marx Ido Dagan Joachim M. Buhmann Coupled Clustering: a Method for Detecting Structural Correspondence https://arxiv.org/abs/cs/0107032 2001 CoRR cs.LG/0107032 db/journals/corr/corr0107.html#cs-LG-0107032

Jan Puzicha Thomas Hofmann 0001 Joachim M. Buhmann A theory of proximity based clustering: structure detection by optimization. 617-634 2000 33 Pattern Recognit. 4 https://doi.org/10.1016/S0031-3203(99)00076-X https://www.wikidata.org/entity/Q127664657 db/journals/pr/pr33.html#PuzichaHB00

Hansjörg Klock Joachim M. Buhmann Data visualization by multidimensional scaling: a deterministic annealing approach. 651-669 2000 33 Pattern Recognit. 4 https://doi.org/10.1016/S0031-3203(99)00078-3 db/journals/pr/pr33.html#KlockB00

Jan Puzicha Marcus Held Jens Ketterer Joachim M. Buhmann Dieter W. Fellner On spatial quantization of color images. 666-682 2000 9 IEEE Trans. Image Process. 4 https://doi.org/10.1109/83.841942 https://www.wikidata.org/entity/Q39833016 db/journals/tip/tip9.html#PuzichaHKBF00

Stefan Will Lothar Hermes Joachim M. Buhmann Jan Puzicha On Learning Optimal Texture Edge Detectors. 2000 conf/icip/2000 ICIP db/conf/icip/icip2000.html#WillHBP00 https://doi.org/10.1109/ICIP.2000.899596 877-880 Joachim M. Buhmann Thomas Zöller Active Learning for Hierarchical Pairwise Data Clustering. 2186-2189 2000 conf/icpr/2000 ICPR https://doi.org/10.1109/ICPR.2000.906044 https://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906044 db/conf/icpr/icpr2000-2.html#BuhmannZ00 Lothar Hermes Joachim M. Buhmann Feature Selection for Support Vector Machines. 2712-2715 2000 conf/icpr/2000 ICPR https://doi.org/10.1109/ICPR.2000.906174 https://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906174 db/conf/icpr/icpr2000-2.html#HermesB00

Jan Puzicha Joachim M. Buhmann Multiscale Annealing for Grouping and Unsupervised Texture Segmentation. 213-230 1999 76 Comput. Vis. Image Underst. 3 https://doi.org/10.1006/cviu.1999.0805 db/journals/cviu/cviu76.html#PuzichaB99

Jan Puzicha Thomas Hofmann 0001 Joachim M. Buhmann Histogram clustering for unsupervised segmentation and image retrieval. 899-909 1999 20 Pattern Recognit. Lett. 9 https://doi.org/10.1016/S0167-8655(99)00056-2 db/journals/prl/prl20.html#PuzichaHB99

Jan Puzicha Joachim M. Buhmann Thomas Hofmann 0001 Histogram Clustering for Unsupervised Image Segmentation. 2602-2608 1999 conf/cvpr/1999 CVPR https://doi.org/10.1109/CVPR.1999.784981 https://doi.ieeecomputersociety.org/10.1109/CVPR.1999.784981 db/conf/cvpr/cvpr1999.html#PuzichaBH99 Jan Puzicha Yossi Rubner Carlo Tomasi Joachim M. Buhmann Empirical Evaluation of Dissimilarity Measures for Color and Texture. 1165-1172 1999 conf/iccv/1999 ICCV https://doi.org/10.1109/ICCV.1999.790412 https://doi.ieeecomputersociety.org/10.1109/ICCV.1999.790412 db/conf/iccv/iccv1999.html#PuzichaRTB99 Joachim M. Buhmann Marcus Held Model Selection in Clustering by Uniform Convergence Bounds. 216-222 http://papers.nips.cc/paper/1674-model-selection-in-clustering-by-uniform-convergence-bounds http://nips.djvuzone.org/djvu/nips12/0216.djvu 1999 conf/nips/1999 NIPS db/conf/nips/nips1999.html#BuhmannH99 Wolfgang Förstner Joachim M. Buhmann Annett Faber Petko Faber Mustererkennung 1999, 21. DAGM-Symposium, Bonn, 15.-17. September 1999, Proceedings DAGM-Symposium Informatik Aktuell Springer 1999 3-540-66381-9 https://doi.org/10.1007/978-3-642-60243-6 db/conf/dagm/dagm1999.html

Joachim M. Buhmann Dieter W. Fellner Marcus Held Jens Ketterer Jan Puzicha Dithered Color Quantization. 219-232 1998 17 Comput. Graph. Forum 3 db/journals/cgf/cgf17.html#BuhmannFHKP98 https://doi.org/10.1111/1467-8659.00269 https://www.wikidata.org/entity/Q59045747

Joachim M. Buhmann Knowledge-Discovery: Wie können wir Muster und Strukturen in Daten zuverlässig erkennen? 37 1998 12 Künstliche Intell. 1 db/journals/ki/ki1998.html#Buhmann98

Thomas Hofmann 0001 Jan Puzicha Joachim M. Buhmann Unsupervised Texture Segmentation in a Deterministic Annealing Framework. 803-818 1998 20 IEEE Trans. Pattern Anal. Mach. Intell. 8 https://doi.org/10.1109/34.709593 http://doi.ieeecomputersociety.org/10.1109/34.709593 db/journals/pami/pami20.html#HofmannPB98

Thomas Hofmann 0001 Joachim M. Buhmann Competitive learning algorithms for robust vector quantization. 1665-1675 1998 46 IEEE Trans. Signal Process. 6 https://doi.org/10.1109/78.678486 db/journals/tsp/tsp46.html#HofmannB98

Jan Puzicha Joachim M. Buhmann Thomas Hofmann 0001 Discrete Mixture Models for Unsupervised Image Segmentation. 135-142 1998 conf/dagm/1998 DAGM-Symposium db/conf/dagm/dagm1998.html#PuzichaBH98 https://doi.org/10.1007/978-3-642-72282-0_13 Jens Ketterer Jan Puzicha Marcus Held Martin Fischer 0005 Joachim M. Buhmann Dieter W. Fellner On Spatial Quantization of Color Images. 563-577 https://doi.org/10.1007/BFb0055690 1998 conf/eccv/1998-1 ECCV (1) db/conf/eccv/eccv1998-1.html#KettererPHFBF98 Jan Puzicha Joachim M. Buhmann Multiscale Annealing for Real-Time Unsupervised Texture Segmentation. 267-273 1998 conf/iccv/1998 ICCV db/conf/iccv/iccv1998.html#PuzichaB98 https://doi.org/10.1109/ICCV.1998.710729 https://doi.ieeecomputersociety.org/10.1109/ICCV.1998.710729 Marcus Held Jan Puzicha Joachim M. Buhmann Visualizing Group Structure. 452-458 http://papers.nips.cc/paper/1552-visualizing-group-structure http://nips.djvuzone.org/djvu/nips11/0452.djvu 1998 conf/nips/1998 NIPS db/conf/nips/nips1998.html#HeldPB98 Joachim M. Buhmann Jan Puzicha Unsupervised Learning for Robust Texture Segmentation. 195-209 1998 conf/tfcv/1998 Theoretical Foundations of Computer Vision db/conf/tfcv/tfcv1998.html#BuhmannP98 https://doi.org/10.1007/978-94-015-9538-4_16 Joachim M. Buhmann Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization. 405-419 1998 Learning in Graphical Models https://doi.org/10.1007/978-94-011-5014-9_14 books/sp/98/J1998 db/books/collections/J1998.html#Buhmann98

Thomas Hofmann 0001 Joachim M. Buhmann Pairwise Data Clustering by Deterministic Annealing. 1-14 1997 19 IEEE Trans. Pattern Anal. Mach. Intell. 1 https://doi.org/10.1109/34.566806 http://doi.ieeecomputersociety.org/10.1109/34.566806 db/journals/pami/pami19.html#HofmannB97

Thomas Hofmann 0001 Joachim M. Buhmann Correction to "Pairwise Data Clustering by Deterministic Annealing". 192 1997 19 IEEE Trans. Pattern Anal. Mach. Intell. 2 https://doi.org/10.1109/TPAMI.1997.574806 http://doi.ieeecomputersociety.org/10.1109/TPAMI.1997.574806 db/journals/pami/pami19.html#HofmannB97a

Jan Puzicha Thomas Hofmann 0001 Joachim M. Buhmann Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. 267-272 1997 conf/cvpr/1997 CVPR https://doi.org/10.1109/CVPR.1997.609331 https://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609331 db/conf/cvpr/cvpr1997.html#PuzichaHB97 Thomas Hofmann 0001 Jan Puzicha Joachim M. Buhmann Deterministic Annealing for Unsupervised Texture Segmentation. 213-228 1997 conf/emmcvpr/1997 EMMCVPR db/conf/emmcvpr/emmcvpr1997.html#HofmannPB97 https://doi.org/10.1007/3-540-62909-2_82 Hansjörg Klock Joachim M. Buhmann Multidimensional Scaling by Deterministic Annealing. 245-260 1997 conf/emmcvpr/1997 EMMCVPR db/conf/emmcvpr/emmcvpr1997.html#KlockB97 https://doi.org/10.1007/3-540-62909-2_84 Joachim M. Buhmann Thomas Hofmann 0001 Robust vector quantization by competitive learning. 139-142 1997 ICASSP https://doi.org/10.1109/ICASSP.1997.599573 https://doi.ieeecomputersociety.org/10.1109/ICASSP.1997.599573 conf/icassp/1997 db/conf/icassp/icassp1997.html#BuhmannH97 Thomas Hofmann 0001 Jan Puzicha Joachim M. Buhmann An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. 213-216 1997 conf/icip/1997 ICIP (3) https://doi.org/10.1109/ICIP.1997.632061 https://doi.ieeecomputersociety.org/10.1109/ICIP.1997.632061 db/conf/icip/icip1997-3.html#HofmannPB97 Andreas Polzer Hansjörg Klock Joachim M. Buhmann Video coding by region-based motion compensation and spatio-temporal wavelet transform. 436-439 1997 conf/icip/1997 ICIP (3) https://doi.org/10.1109/ICIP.1997.632149 https://doi.ieeecomputersociety.org/10.1109/ICIP.1997.632149 db/conf/icip/icip1997-3.html#PolzerKB97 Hansjörg Klock Andreas Polzer Joachim M. Buhmann Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video. 776-779 1997 conf/icip/1997 ICIP (2) https://doi.org/10.1109/ICIP.1997.638611 https://doi.ieeecomputersociety.org/10.1109/ICIP.1997.638611 db/conf/icip/icip1997-2.html#KlockPB97 Marcus Held Joachim M. Buhmann Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis. 1997 conf/nips/1997 NIPS db/conf/nips/nips1997.html#HeldB97 http://papers.nips.cc/paper/1479-unsupervised-on-line-learning-of-decision-trees-for-hierarchical-data-analysis 514-520 Thomas Hofmann 0001 Joachim M. Buhmann Active Data Clustering. 1997 conf/nips/1997 NIPS db/conf/nips/nips1997.html#HofmannB97 http://papers.nips.cc/paper/1363-active-data-clustering 528-534 Thomas Hofmann 0001 Joachim M. Buhmann An Annealed "Neural Gas" Network for Robust Vector Quantization. 151-156 1996 conf/icann/1996 ICANN db/conf/icann/icann1996.html#HofmannB96 https://doi.org/10.1007/3-540-61510-5_29 Thomas Hofmann 0001 Jan Puzicha Joachim M. Buhmann Unsupervised segmentation of textured images by pairwise data clustering. 137-140 1996 ICIP (3) https://doi.org/10.1109/ICIP.1996.560389 conf/icip/1996 db/conf/icip/icip1996-3.html#HofmannPB96 Thorsten Fröhlinghaus Joachim M. Buhmann Regularizing phase-based stereo. 451-455 1996 ICPR https://doi.org/10.1109/ICPR.1996.546067 https://doi.ieeecomputersociety.org/10.1109/ICPR.1996.546067 conf/icpr/1996 db/conf/icpr/icpr1996.html#FrohlinghausB96 Thomas Hofmann 0001 Joachim M. Buhmann Inferring Hierarchical Clustering Structures by Deterministic Annealing. 363-366 1996 conf/kdd/1996 KDD db/conf/kdd/kdd96.html#HofmannB96 http://www.aaai.org/Library/KDD/1996/kdd96-068.php

Joachim M. Buhmann Wolfram Burgard Armin B. Cremers Dieter Fox Thomas Hofmann 0001 Frank E. Schneider Jiannis Strikos Sebastian Thrun The Mobile Robot RHINO. 31-38 1995 16 AI Mag. 2 db/journals/aim/aim16.html#BuhmannBCFHSST95 https://doi.org/10.1609/aimag.v16i2.1131

Armin B. Cremers Joachim M. Buhmann Sebastian Thrun Komplexe lernende Systeme: der mobile Roboter RHINO. 48-49 1995 9 Künstliche Intell. 2 db/journals/ki/ki9.html#CremersBT95

Joachim M. Buhmann Wolfram Burgard Armin B. Cremers Dieter Fox Thomas Hofmann 0001 Frank E. Schneider Jiannis Strikos Sebastian Thrun The Mobile Robot Rhino. 129-139 1995 SNN Symposium on Neural Networks https://doi.org/10.1007/978-1-4471-3087-1_26 conf/snn/1995 db/conf/snn/snn1995.html#BuhmannBCFHSST95 Joachim M. Buhmann Thomas Hofmann 0001 A maximum entropy approach to pairwise data clustering. 207-212 1994 ICPR (2) https://doi.org/10.1109/ICPR.1994.576905 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.576905 conf/icpr/1994-2 db/conf/icpr/icpr1994-2.html#BuhmannH94 Thomas Hofmann 0001 Joachim M. Buhmann Multidimensional Scaling and Data Clustering. 459-466 https://proceedings.neurips.cc/paper_files/paper/1994/hash/1587965fb4d4b5afe8428a4a024feb0d-Abstract.html http://nips.djvuzone.org/djvu/nips07/0459.djvu 1994 conf/nips/1994 NIPS db/conf/nips/nips1994.html#HofmannB94

Joachim M. Buhmann Hans Kühnel Complexity Optimized Data Clustering by Competitive Neural Networks. 75-88 1993 5 Neural Comput. 1 https://doi.org/10.1162/neco.1993.5.1.75 db/journals/neco/neco5.html#BuhmannK93

Martin Lades Jan C. Vorbrüggen Joachim M. Buhmann Jörg Lange Christoph von der Malsburg Rolf P. Würtz Wolfgang Konen Distortion Invariant Object Recognition in the Dynamic Link Architecture. 300-311 1993 42 IEEE Trans. Computers 3 db/journals/tc/tc42.html#LadesVBLMWK93 https://doi.org/10.1109/12.210173 http://doi.ieeecomputersociety.org/10.1109/12.210173

Joachim M. Buhmann Hans Kühnel Vector quantization with complexity costs. 1133-1145 1993 39 IEEE Trans. Inf. Theory 4 db/journals/tit/tit39.html#BuhmannK93 https://doi.org/10.1109/18.243432

Joachim M. Buhmann Thomas Hofmann 0001 Central and Pairwise Data Clustering by Competitive Neural Networks. 104-111 http://papers.nips.cc/paper/719-central-and-pairwise-data-clustering-by-competitive-neural-networks http://nips.djvuzone.org/djvu/nips06/0104.djvu 1993 conf/nips/1993 NIPS db/conf/nips/nips1993.html#BuhmannH93 Joachim M. Buhmann Martin Lades Frank H. Eeckman Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina. 769-776 http://papers.nips.cc/paper/876-illumination-invariant-face-recognition-with-a-contrast-sensitive-silicon-retina http://nips.djvuzone.org/djvu/nips06/0769.djvu 1993 conf/nips/1993 NIPS db/conf/nips/nips1993.html#BuhmannLE93

Christoph von der Malsburg Joachim M. Buhmann Sensory segmentation with coupled neural oscillators. 233-242 1992 67 Biol. Cybern. 3 https://doi.org/10.1007/BF00204396 https://www.wikidata.org/entity/Q52234204 db/journals/bc/bc67.html#MalsburgB92

Joachim M. Buhmann Hans Kühnel Complexity Optimized Vector Quantization: A Neutral Network Approach. 12-21 1992 conf/dcc/1992 Data Compression Conference db/conf/dcc/dcc92.html#BuhmannK92 https://doi.org/10.1109/DCC.1992.227480

DeLiang Wang Joachim M. Buhmann Christoph von der Malsburg Pattern Segmentation in Associative Memory. 94-106 1990 2 Neural Comput. 1 https://doi.org/10.1162/neco.1990.2.1.94 db/journals/neco/neco2.html#WangBM90

Joachim M. Buhmann Martin Lades Christoph von der Malsburg Size and distortion invariant object recognition by hierarchical graph matching. 411-416 1990 IJCNN https://doi.org/10.1109/IJCNN.1990.137747 conf/ijcnn/1990 db/conf/ijcnn/ijcnn1990.html#BuhmannLM90 Joachim M. Buhmann Neuronale Netzwerke als assoziative Speicher und als Systeme zur Mustererkennung. 1988 1-148 Technical University Munich, Germany https://d-nb.info/890890269 Joachim M. Buhmann Klaus Schulten Invariant pattern recognition by means of fast synaptic plasticity. 125-132 1988 ICNN https://doi.org/10.1109/ICNN.1988.23840 conf/icnn/1988 db/conf/icnn/icnn1988.html#BuhmannS88 Gabriele Abbati Antoine Adamantidis Ruedi Aebersold Adriano Aguzzi Sai Aitharaju Carl Allen Mounir Amrani Rado Andriantsimiavona Eduardo A. Aponte Ioannis N. Athanasiadis Elias August Sacha Baginsky Michael Bajka David Balduzzi Mojtaba Bandarabadi Marc Bartholet Gian-Marco Baschera David A. Basin Stefan Bauer Christian R. Baumann Herbert Bay Serge J. Belongie Ami Beuret Yatao BianYatao An BianAn BianAndrew An Bian Ulrike Bingel Samuel Braendle Mikio L. Braun Kay Henning Brodersen Steven A. Brown Stefano Buoso Wolfram Burgard Jakob M. Burgstaller Amanda Burton Alberto Giovanni Busetto Ludwig M. Busse Eugene Bykovets Alessandro Candreva Nicolas Carion João B. S. Carvalho Flavia Cavaliere Siu Lun Chau Morteza Haghir Chehreghani Wei-Jun Chen Justin R. Chumbley Antonio Emanuele Cinà Manfred Claassen Frans Coetzee Luca Corinzia Armin B. Cremers Ido Dagan Edgar Dahl Jean Daunizeau X. Luís Dean-Ben Andreea O. DiaconescuAndreea Oliviana Diaconescu Tomas Dikk Sotiris Dimopoulos Gideon Dror Alina Dubatovka Julien Dumazert Sarvesh Dwivedi Frank H. Eeckman Wolfgang Einhäuser Mennatallah El-Assady Eugen Ernst André Euler Annett Faber Petko Faber Zhongbin Fang Dieter W. Fellner Vittorio Ferrari Benjamin Fischer Bernd Fischer 0003 Martin Fischer 0005 Xenofon E. Floros Simon Föll Wolfgang Förstner Dieter Fox Mario Frank 0001 Stefan Frässle Thomas Frauenfelder Gabriel Fringeli Karl J. Friston Thorsten Fröhlinghaus Thomas J. Fuchs Benjamin Gallusser Stuart Geman Robin C. GeyerRobin Geyer 0002 Giacomo Giuliari Muhammad Waleed Gondal Nico S. Gorbach Alkis Gotovos Alexey Gronskiy Markus Gross 0001Markus H. Gross Jonas Grossmann Wilhelm Gruissem Isabelle Guyon Florent Haiss Luis Haug Alain Hauser Johannes Haybaeck Hans-Christian Hege Mathias Heikenwalder Marcus Held Ulrike Held Lothar Hermes Juan Herrera Thomas Hofmann 0001 Stefan Holdener Maurice Hörold Riko Jacob Paul F. Jaeger Anil K. Jain 0001 Kushal Jain Peifeng Jiang Carlos Cotrini JiménezCarlos Cotrini Fabienne Jung Sandeep Kumar Kalva Walter Karlen Tanja Käser Lars Kasper Motoaki Kawanabe Verena Kaynig Daniel A. Keim Jens Ketterer Yannic Kilcher Taehyeon Kim 0001 Lukas Klein Severin Klingler Hansjörg Klock Seijin Kobayashi Stefan Koller Wolfgang Konen Andreas Krause 0001 Gabriel Krummenacher Hans Kühnel Martin Lades Jörg Lange Tilman Lange Dmitry Laptev Julian Laub Fabian Laumer Cristina Lavini Martin H. C. Law Alexander P. Leff Kfir Y. LevyKfir Yehuda Levy Jihe Li Muheng Li Xia Li 0005 Xiangtai Li Zhang Li Chia-shu Lin Lorenz Linhardt Hong Liu 0008 Mengyuan Liu 0001 Xiang Liu 0017 Ekaterina I. Lomakina Antony J. Lomax Chen Change Loy Mario Lucic François Mach Theodor Mader Dwarikanath Mahapatra Francesco Maisano Jesica MakanyangaJesica C. Makanyanga Christoph von der Malsburg Laura Manduchi Zina M. Manjaly Martin Maritsch Katharina Martini Zvika Marx Christoph Mathys Christian M. Matter Michael A. Matter Brian McWilliams Nicolai Meinshausen Alex Menys Yannick Metz Alexander Meyer Matús Mihalák Ðorðe MiladinovicDjordje Miladinovic Baharan Mirzasoleiman Holger Moch Yvonne Moh Luca Mondada Krikamol Muandet Christine Muheim Klaus-Robert Müller Robiel NazirogluRobiel E. Naziroglu C. Yung Nio Daniela Noain Markus Oelhafen Patrik Okanovic Björn Ommer Cheng Soon Ong Peter Orbanz Ivan Ovinnikov Saee Gopal PaliwalSaee Paliwal 0001 Nikos Paragios Max B. Paulus Daniel Paysan Jean-Philippe Pellet Doug PendséDoug A. Pendsé Paolo Penna Hansruedi Peter Patrick Pletscher Markus Ploner Marc Pollefeys Andreas Polzer Sandhya Prabhakaran Tobias Pröger Jesse Provost Klaas P. Pruessmann Carl A. J. Puylaert Jan Puzicha Andrew Rabinovich Ulrich Ramacher Sudhir Raman Visvanathan Ramesh Daniel Razansky Adeel Razi Markus P. Rechsteiner Victor Jimenez Rodriguez Franz F. Roos Volker Roth 0001 Lena Rubi Yossi Rubner Frank Ruschitzka Björn Sæmundsson Amir SaffariAmir Reza Saffari Azar Alamdari Aytunc Sahin João A. Santinha Michael Sauter Nikolay Savinov Jürgen Schmidhuber Frank E. Schneider Thomas M. Schofield Bernhard Schölkopf Lea Schönherr Peter J. SchüfflerPeter Schueffler Klaus Schulten Patrick Schwab Eli Shamir 0001 Kumar Shridhar Christian D. Sigg Barbara Solenthaler Giatgen Spinas Andrea Spinnler Rastislav Srámek Aleksandar Stanic Jörg Stelling Björn StengerBjoern Stenger Klaas E. StephanKlaas Enno Stephan Johann Steurer Jaap Stoker Andreas P. Streich Jiannis Strikos Bruno Studer Daniel Ariza Suarez Markus Suing Mikael Sunnåker Scott Sussex Wojciech Szpankowski Maurizio Tamarasso Maurizio Taramasso Stuart A. Taylor Gudrun Thäter Sebastian Thrun Jeroen A. W. Tielbeek Marc Tittgemeyer Carlo Tomasi Alexander P. Topchy Alessandro Torcinovich Irene Tracey Sebastian Tschiatschek Matteo Turchetta Hastagiri Vanchinathan Alexander Vezhnevets A. Veznevets Lucas J. van Vliet Julia E. Vogt Jan C. Vorbrüggen Frans VosFranciscus M. Vos DeLiang Wang Ti Wang Bruno Weber Damien Charles WeberDamien C. Weber Viktor Wegmayr Philippe Wenk Peter Wey Peter Widmayer Alexander Wiebel Katja Wiech Peter J. Wild Stefan Will Sebastian Winklhofer Felix Wortmann Rolf P. Würtz Yuan Xu Steven Yates Omar G. Younis Se-Young Yun Fabian Zhang Mengtao Zhang Tianhao Zhang Ye Zhang 0039 Guangyao Zhou Julian G. Zilly Judith Zimmermann Thomas Zöller