{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T19:40:09Z","timestamp":1749843609365,"version":"3.41.0"},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1109\/cvprw.2016.141","type":"proceedings-article","created":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T21:57:08Z","timestamp":1482184628000},"page":"1101-1109","source":"Crossref","is-referenced-by-count":1,"title":["Efficient Deep Feature Learning and Extraction via StochasticNets"],"prefix":"10.1109","author":[{"given":"Mohammad Javad","family":"Shafiee","sequence":"first","affiliation":[]},{"given":"Parthipan","family":"Siva","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Fieguth","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Wong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Accelerating very deep convolutional networks for classification and detection","year":"2015","author":"zhang","key":"ref32"},{"journal-title":"Stochastic Pooling for Regularization of Deep Convolutional Neural Networks","year":"2013","author":"zeiler","key":"ref31"},{"key":"ref30","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"2013","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref10","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref11","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.106"},{"journal-title":"Deep speech Scaling up end-to-end speech recognition","year":"2014","author":"hannun","key":"ref13"},{"key":"ref14","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","author":"he","year":"2014","journal-title":"European Conference on Computer Vision (ECCV)"},{"journal-title":"Delving deep into rectifiers Surpassing human-level performance on imagenet classification","year":"2015","author":"he","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1202128109"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1460833.1460872"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS.2014.6908370"},{"key":"ref19","first-page":"83","article-title":"The structure of a random directed graph","volume":"6","author":"kovalenko","year":"1975","journal-title":"Theory of probability and mathematical statistics"},{"journal-title":"Going Deeper with Convolutions","year":"2014","author":"szegedy","key":"ref28"},{"key":"ref4","first-page":"215","article-title":"An analysis of single-layer networks in unsupervised feature learning","author":"coates","year":"2011","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref27","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"journal-title":"Compressing neural networks with the hashing trick","year":"2015","author":"chen","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"journal-title":"Matconvnet — convolutional neural networks for matlab","year":"0","author":"vedaldi","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537908"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"290","DOI":"10.5486\/PMD.1959.6.3-4.12","article-title":"On random graphs i","volume":"6","author":"erdos","year":"1959","journal-title":"Publ Math Debrecen"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1090\/psapm\/044"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177706098"},{"key":"ref1","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"Journal of Machine Learning Resaerch"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref21","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref24","article-title":"Reading digits in natural images with unsupervised feature learning","volume":"2011","author":"netzer","year":"2011","journal-title":"NIPS workshop on deep learning and unsu-pervisedfeature learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315150"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2551458"}],"event":{"name":"2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","start":{"date-parts":[[2016,6,26]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2016,7,1]]}},"container-title":["2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7784518\/7789490\/07789631.pdf?arnumber=7789631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T19:09:03Z","timestamp":1749841743000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7789631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/cvprw.2016.141","relation":{},"subject":[],"published":{"date-parts":[[2016,6]]}}}