{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T04:21:30Z","timestamp":1770524490430,"version":"3.49.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100013290","name":"National Key Research and Development Program of China Stem Cell and Translational Research","doi-asserted-by":"publisher","award":["2017YFC0822204"],"award-info":[{"award-number":["2017YFC0822204"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1613205"],"award-info":[{"award-number":["U1613205"]}],"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":["51675291"],"award-info":[{"award-number":["51675291"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Laboratory of China","award":["SKLT2018C04"],"award-info":[{"award-number":["SKLT2018C04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1109\/tfuzz.2019.2904237","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T23:35:47Z","timestamp":1552952147000},"page":"47-59","source":"Crossref","is-referenced-by-count":5,"title":["Self-Supervised Learning for Specified Latent Representation"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8691-2104","authenticated-orcid":false,"given":"Chicheng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Libin","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ken","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2997-2351","authenticated-orcid":false,"given":"Jing","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref38","article-title":"Designing deep convolutional neural networks for continuous object orientation estimation","author":"hara","year":"2017"},{"key":"ref33","first-page":"1","article-title":"Scaling learning algorithms towards AI","author":"bengio","year":"2007","journal-title":"Large-Scale Kernel Machines"},{"key":"ref32","first-page":"115","article-title":"Non-local manifold Parzen windows","author":"bengio","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_34"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref37","article-title":"Numerical optimization of kernel based image derivatives","author":"kroon","year":"2009","journal-title":"Short Paper Univ Twente"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206633"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/45.329294"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"},{"key":"ref28","article-title":"Spike-and-slab sparse coding for unsupervised feature discovery","author":"goodfellow","year":"2012"},{"key":"ref27","first-page":"97","article-title":"Unsupervised and transfer learning challenge: A deep learning approach","volume":"27","author":"mesnil","year":"2011","journal-title":"International Conference on Unsupervised and Transfer Learning Workshop"},{"key":"ref29","first-page":"513","article-title":"Domain adaptation for large-scale sentiment classification: A deep learning approach","author":"glorot","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML-11)"},{"key":"ref2","article-title":"SE3-Pose-Nets: Structured deep dynamics models for visuomotor planning and control","author":"byravan","year":"2017"},{"key":"ref1","first-page":"2746","article-title":"Embed to control: A locally linear latent dynamics model for control from raw images","author":"watter","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","first-page":"2294","article-title":"The manifold tangent classifier","author":"rifai","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"12","article-title":"Learning distributed representations of concepts","volume":"1","author":"hinton","year":"1986","journal-title":"Proc 8th Annu Conf Cognit Sci Soc"},{"key":"ref21","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.3881"},{"key":"ref23","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref26","first-page":"17","article-title":"Deep learning of representations for unsupervised and transfer learning","author":"bengio","year":"2012","journal-title":"Proc ICML Workshop Unsupervised Transfer Learn"},{"key":"ref25","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.04.012"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.63"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-017-1159-3"},{"key":"ref57","author":"zucchini","year":"2016","journal-title":"Hidden Markov Models for Time Series An Introduction Using R"},{"key":"ref56","first-page":"248","article-title":"Object-centric representation learning from unlabeled videos","author":"gao","year":"2016","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref54","first-page":"3832","article-title":"Learning deep intrinsic video representation by exploring temporal coherence and graph structure","author":"pan","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref53","article-title":"The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale","author":"kuznetsova","year":"2018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ARSO.2016.7736270"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.11-07-647"},{"key":"ref11","article-title":"Visual servoing from deep neural networks","author":"bateux","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.124"},{"key":"ref12","first-page":"469","article-title":"Phone recognition with the mean-covariance restricted Boltzmann machine","volume":"1","author":"dahl","year":"2010","journal-title":"Proc 23rd Int Conf Neural Inf Process Syst"},{"key":"ref13","article-title":"Binary coding of speech spectrograms using a deep auto-encoder","author":"deng","year":"2010","journal-title":"Proc 11th Annu Conf Int Speech Commun Assoc"},{"key":"ref14","article-title":"Conversational speech transcription using context-dependent deep neural networks","author":"seide","year":"2011","journal-title":"Proc 12th Annu Conf Int Speech Commun Assoc"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2109382"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref19","article-title":"Multi-column deep neural networks for image classification","author":"ciregan","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487173"},{"key":"ref3","article-title":"PVEs: Position-velocity encoders for unsupervised learning of structured state representations","author":"jonschkowski","year":"2017"},{"key":"ref6","first-page":"1409","article-title":"Generative versus discriminative training of RMBs for classification of fMRI images","author":"schmah","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","article-title":"Information processing in dynamical systems: Foundations of harmony theory","author":"smolensky","year":"1986","journal-title":"Tech Rep"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF00332918"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553505"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126549"},{"key":"ref9","first-page":"3","article-title":"Autoencoders, minimum description length and Helmholtz free energy","author":"hinton","year":"1994","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_29"},{"key":"ref45","first-page":"5","article-title":"Joint object and pose recognition using homeomorphic manifold analysis","volume":"2","author":"zhang","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.103"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_36"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2743739"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_30"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0942-1"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.22"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/91\/8949771\/08664135.pdf?arnumber=8664135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:58:35Z","timestamp":1639771115000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8664135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":58,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2019.2904237","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"value":"1063-6706","type":"print"},{"value":"1941-0034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]}}}