{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:40:34Z","timestamp":1771026034600,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1109\/cvpr.2016.578","type":"proceedings-article","created":{"date-parts":[[2016,12,13]],"date-time":"2016-12-13T01:38:49Z","timestamp":1481593129000},"page":"5356-5364","source":"Crossref","is-referenced-by-count":107,"title":["Discriminatively Embedded K-Means for Multi-view Clustering"],"prefix":"10.1109","author":[{"given":"Jinglin","family":"Xu","sequence":"first","affiliation":[]},{"given":"Junwei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273642"},{"key":"ref31","first-page":"73","article-title":"A subspace cotraining framework for multi-view clustering","volume":"41","author":"zhao","year":"2014","journal-title":"PR"},{"key":"ref30","article-title":"Color texture moments for content-based image retrieval","author":"yu","year":"2002","journal-title":"ICIP"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273562"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143880"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972740.58"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2005.09.012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.648"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref16","article-title":"Discriminative embedded clustering: A framework for grouping high-dimensional data","author":"hou","year":"2014","journal-title":"TNNLS"},{"key":"ref17","first-page":"729","article-title":"Trace ratio problem revisited","volume":"20","author":"jia","year":"2009","journal-title":"TNN"},{"key":"ref18","article-title":"A co-training approach for multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"ICML"},{"key":"ref19","article-title":"Co-regularized multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"NIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.148"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995740"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.523"},{"key":"ref3","article-title":"Multi-view k-means clustering on big data","author":"cai","year":"2013","journal-title":"AAAI"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v28i1.8922","article-title":"A convex formulation for semi-supervised multi-label feature selection","author":"chang","year":"2014","journal-title":"AAAI"},{"key":"ref29","article-title":"Where am i: Place instance and category recognition using spatial pact","author":"wu","year":"2008","journal-title":"CVPR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"ref8","first-page":"20","article-title":"Spectral clustering with two views","author":"de sa","year":"2005","journal-title":"ICML Workshop on Learning with Multiple Views"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/11564096_51"},{"key":"ref1","article-title":"Uci machine learning repository","author":"asuncion","year":"2007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref21","first-page":"831","article-title":"Multiple non-redundant spectral clustering views","author":"niu","year":"2010","journal-title":"ICML"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","article-title":"Normalized cuts and image segmentation","volume":"22","author":"shi","year":"2000","journal-title":"TPAMI"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1023\/A:1011139631724","article-title":"Modeling the shape of the scene: A holistic representation of the spatial envelope","volume":"42","author":"oliva","year":"2001","journal-title":"IJCV"},{"key":"ref26","article-title":"Unsupervised feature selection via unified trace ratio formulation and k-means clustering (track)","author":"wang","year":"2014","journal-title":"ECMLPKDD"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","article-title":"Luxburg. A tutorial on spectral clustering","volume":"17","author":"von","year":"2007","journal-title":"Statistics and Computing"}],"event":{"name":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2016,6,27]]},"end":{"date-parts":[[2016,6,30]]}},"container-title":["2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7776647\/7780329\/07780947.pdf?arnumber=7780947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:22:06Z","timestamp":1658017326000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7780947\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2016.578","relation":{},"subject":[],"published":{"date-parts":[[2016,6]]}}}