{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T23:03:19Z","timestamp":1767913399092,"version":"3.49.0"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672497"],"award-info":[{"award-number":["61672497"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61332016"],"award-info":[{"award-number":["61332016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61620106009"],"award-info":[{"award-number":["61620106009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61650202"],"award-info":[{"award-number":["61650202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1636214"],"award-info":[{"award-number":["U1636214"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572488"],"award-info":[{"award-number":["61572488"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61429201"],"award-info":[{"award-number":["61429201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China (973 Program)","doi-asserted-by":"crossref","award":["2015CB351802"],"award-info":[{"award-number":["2015CB351802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key Research Program of Frontier Sciences of CAS","award":["QYZDJ-SSW-SYS013"],"award-info":[{"award-number":["QYZDJ-SSW-SYS013"]}]},{"name":"ARO","award":["W911NF-15-1-0290"],"award-info":[{"award-number":["W911NF-15-1-0290"]}]},{"name":"Faculty Research Gift Awards by NEC Laboratories of America and Blippar"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/tip.2017.2713045","type":"journal-article","created":{"date-parts":[[2017,6,7]],"date-time":"2017-06-07T14:11:50Z","timestamp":1496844710000},"page":"4168-4181","source":"Crossref","is-referenced-by-count":45,"title":["Multimodal Similarity Gaussian Process Latent Variable Model"],"prefix":"10.1109","volume":"26","author":[{"given":"Guoli","family":"Song","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5931-0527","authenticated-orcid":false,"given":"Shuhui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qingming","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Tian","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273613"},{"key":"ref38","first-page":"1425","article-title":"Variational inference for latent variables and uncertain inputs in Gaussian processes","volume":"17","author":"damianou","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2588330"},{"key":"ref32","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"andrew","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","first-page":"2601","article-title":"MDL-CW: A multimodal deep learning framework with cross weights","author":"rastegar","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref30","first-page":"1083","article-title":"On deep multi-view representation learning","author":"wang","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2319"},{"key":"ref36","author":"fukunaga","year":"2013","journal-title":"Introduction to statistical pattern recognition"},{"key":"ref35","article-title":"Variational auto-encoded deep Gaussian processes","author":"dai","year":"2015"},{"key":"ref34","first-page":"207","article-title":"Deep Gaussian processes","author":"damianou","year":"2013","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref28","first-page":"689","article-title":"Multimodal deep learning","author":"ngiam","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref27","volume":"118","author":"neal","year":"2012","journal-title":"Bayesian learning for neural networks"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2574915"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873987"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.64"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967216"},{"key":"ref22","first-page":"34","article-title":"Overview and recent advances in partial least squares","author":"rosipal","year":"2005","journal-title":"Subspace Latent Structure and Feature Selection"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2390499"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/860458.860460"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.310"},{"key":"ref26","first-page":"2384","article-title":"A probabilistic framework for multimodal retrieval using integrative Indian buffet process","author":"ozdemir","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000302"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1037\/h0071325"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273557"},{"key":"ref53","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref52","first-page":"97","article-title":"Kernel partial least squares regression in reproducing kernel Hilbert space","volume":"2","author":"rosipal","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247923"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995687"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339678"},{"key":"ref13","first-page":"1577","article-title":"Spatial latent Dirichlet allocation","author":"wang","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143909"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Science"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390292"},{"key":"ref17","author":"borg","year":"2005","journal-title":"Modern Multidimensional Scaling Theory and Applications"},{"key":"ref18","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref19","first-page":"2407","article-title":"Learning cross-modality similarity for multinomial data","author":"jia","year":"2011","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2577885"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2375634"},{"key":"ref6","first-page":"1783","article-title":"Probabilistic non-linear principal component analysis with Gaussian process latent variable models","volume":"6","author":"lawrence","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298966"},{"key":"ref8","first-page":"145","article-title":"Manifold relevance determination","author":"damianou","year":"2012","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85853-9_6"},{"key":"ref49","author":"everingham","year":"2007","journal-title":"The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results"},{"key":"ref9","first-page":"1233","article-title":"Learning shared latent structure for image synthesis and robotic imitation","author":"shon","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248041"},{"key":"ref45","first-page":"139","article-title":"Collecting image annotations using Amazon&#x2019;s mechanical Turk","author":"rashtchian","year":"2010","journal-title":"NAACL HLT Workshop"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref47","first-page":"213","article-title":"TVGraz: Multi-modal learning of object categories by combining textual and visual features","author":"khan","year":"2009","journal-title":"Proc AAPR Workshop"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/BF02288916"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80056-5"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.461"},{"key":"ref43","first-page":"1806","article-title":"Multi-modal distance metric learning","author":"xie","year":"2013","journal-title":"Proc 23rd Int Joint Conf Artif Intell"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/7956620\/07942108.pdf?arnumber=7942108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:38:54Z","timestamp":1641987534000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7942108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":54,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2713045","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9]]}}}