{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:30:28Z","timestamp":1730266228478,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489578","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization"],"prefix":"10.1109","author":[{"given":"Xianzhong","family":"Long","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1","article-title":"Nonnegative matrix factorization by joint locality-constrained and l2, 1-norm regularization","year":"2017","journal-title":"MultimediaTools Applicat"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TKDE.2010.165"},{"key":"ref12","first-page":"202","article-title":"Document clusteringby conceptfactorization","year":"2004","journal-title":"InternationalACM SIGIR Conference on Research and Development in Information Retrieval"},{"key":"ref13","first-page":"197","article-title":"Class-drivenconceptfactorizationforimage representation","volume":"190","year":"2016","journal-title":"Neurocomputing"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.ins.2015.10.038","article-title":"Semi-supervised concept factorization for document clustering","volume":"331","year":"2016","journal-title":"Information Sciences"},{"key":"ref15","first-page":"1","article-title":"Concept factorization with adaptive neighbors for document clustering","year":"2016","journal-title":"IEEETrans Neural Networks and Learning Systems"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.neucom.2017.01.045","article-title":"Graph regularized multilayer concept factorization for data representation","volume":"238","year":"2017","journal-title":"Neurocomputing"},{"key":"ref17","first-page":"1","article-title":"Graph-based discriminative conceptfactorization for data representation","volume":"118","year":"2016","journal-title":"Soft Computing"},{"key":"ref18","first-page":"1","article-title":"Feature selection for adaptive dual-graph regularized conceptfactorization for data representation","volume":"45","year":"2016","journal-title":"Neural Processing Letters"},{"key":"ref19","first-page":"561","article-title":"Learning feature representations with k-means","volume":"7700","year":"2013","journal-title":"Lecture Notes in Computer Science"},{"key":"ref4","first-page":"2679","article-title":"Graph regularized discriminative non-negative matrixfactorization forface recognition","volume":"72","year":"2014","journal-title":"MultimediaTools Applicat"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TPAMI.2010.231"},{"year":"2011","journal-title":"Machine Audition Principles Algorithms and Systems","article-title":"Instantaneous vs. convolutive non-negative matrixfactorization: Models, algorithms and applications to audio pattern separation","key":"ref6"},{"key":"ref5","first-page":"2","article-title":"Topicmf: simultaneously exploiting ratings and reviews for recommendation","year":"2014","journal-title":"Twenty-Eighth AAAI Conference on Artificial Intelligence"},{"key":"ref8","first-page":"1","article-title":"Semi-supervised convex nonnegative matrix factorizations with graph regularized for image representation","volume":"237","year":"2016","journal-title":"Neurocomputing"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TKDE.2012.51"},{"key":"ref2","article-title":"Algorithms for non-negative matrix factorization","volume":"13","year":"2001","journal-title":"Advances in neural information processing systems"},{"year":"2017","journal-title":"Neurocomputing","article-title":"Graph-based discriminative nonnegative matrix factorization with label information","key":"ref9"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by nonnegative matrixfactorization","volume":"401","year":"1999","journal-title":"Nature"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1162\/089976603321780317"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1016\/j.neucom.2016.05.113"},{"year":"2018","journal-title":"Signal Processing","article-title":"Estimating the laplacian matrix of gaussian mixtures for signal processing on graphs","key":"ref21"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/TKDE.2005.198"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489578.pdf?arnumber=8489578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T02:15:30Z","timestamp":1598235330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489578","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}