{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T09:59:34Z","timestamp":1729677574382,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1109\/icip.2015.7351464","type":"proceedings-article","created":{"date-parts":[[2015,12,13]],"date-time":"2015-12-13T06:34:48Z","timestamp":1449988488000},"page":"3545-3549","source":"Crossref","is-referenced-by-count":0,"title":["Learning unified sparse representations for multi-modal data"],"prefix":"10.1109","author":[{"given":"Kaiye","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.261"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1609\/aaai.v27i1.8603","article-title":"Supervised coupled dictionary learning with group structures for multi-modal retrieval","author":"zhuang","year":"2013","journal-title":"AAAI"},{"key":"ref12","article-title":"Multimodal deep learning","author":"ngiam","year":"2011","journal-title":"ICML"},{"key":"ref13","first-page":"2231","article-title":"Multimodal Iearning with deep boltzmann machines","author":"srivastava","year":"2012","journal-title":"NIPS"},{"key":"ref14","article-title":"Efficient methods in convex programming","author":"nemirovski","year":"2005","journal-title":"Lecture notes"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-8853-9","article-title":"Introductory lectures on convex optimization: A basic course","author":"nesterov","year":"2004"},{"key":"ref16","article-title":"MALSAR: Multi-task learning via structural regularization. arizona state university","author":"zhou","year":"2011","journal-title":"Arizona State University"},{"key":"ref17","article-title":"Effi-cient sparse coding algorithms","author":"lee","year":"2006","journal-title":"NIPS"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","article-title":"K-svd: An algorithm for designing over-complete dictionaries for sparse representation","volume":"54","author":"aharon","year":"2006","journal-title":"IEEE Trans on Signal Processing"},{"key":"ref19","article-title":"SLEP: Sparse learning with efficient projections","author":"liu","year":"2009","journal-title":"Arizona State University"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1007\/11752790_2","article-title":"Overview and recent advances in partial least squares","author":"rosipal","year":"2006","journal-title":"Subspace Latent Structure and Feature Selection"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.142"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873987"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995350"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247923"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1037"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref9","first-page":"877","article-title":"Cross-media semantic representation via bi-directionallearning to rank","author":"wu","year":"2013","journal-title":"ACM MM"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref21","first-page":"923","article-title":"Bridging the gap: query by semantic example","volume":"9","author":"rasiwasia","year":"2007","journal-title":"IEEE TMM"}],"event":{"name":"2015 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2015,9,27]]},"location":"Quebec City, QC, Canada","end":{"date-parts":[[2015,9,30]]}},"container-title":["2015 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7328364\/7350743\/07351464.pdf?arnumber=7351464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T01:06:24Z","timestamp":1718240784000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7351464\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icip.2015.7351464","relation":{},"subject":[],"published":{"date-parts":[[2015,9]]}}}