{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:58:14Z","timestamp":1730249894290,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/icme.2018.8486501","type":"proceedings-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T18:34:18Z","timestamp":1539282858000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders"],"prefix":"10.1109","author":[{"given":"Xing","family":"Gao","sequence":"first","affiliation":[]},{"given":"Hongkai","family":"Xiong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref11","article-title":"Un-supervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"Proc ICLR"},{"journal-title":"Un-supervised learning of visual structure using predictive generative networks","year":"2015","author":"lotter","key":"ref12"},{"key":"ref13","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref15","first-page":"215","article-title":"An analysis of single-layer networks in unsupervised feature learning","author":"coates","year":"2011","journal-title":"Proc AISTATS"},{"key":"ref16","first-page":"1017","article-title":"ICA with reconstruction cost for efficient overcomplete feature learning","author":"le","year":"2011","journal-title":"NIPS"},{"key":"ref17","first-page":"1125","article-title":"Sparse filtering","author":"jiquan","year":"2011","journal-title":"NIPS"},{"key":"ref18","first-page":"921","article-title":"The importance of encoding versus training with sparse coding and vector quantization","author":"coates","year":"2011","journal-title":"Proc ICML"},{"key":"ref19","first-page":"3203","article-title":"Deep learning of invariant features via simulated fixations in video","author":"zou","year":"2012","journal-title":"NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref6","article-title":"Adversarially learned inference","author":"dumoulin","year":"2017","journal-title":"Proc ICLR"},{"key":"ref5","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NIPS"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639343"},{"key":"ref7","article-title":"Adversarial feature learning","author":"donahue","year":"2017","journal-title":"Proc ICLR"},{"key":"ref2","first-page":"1150","article-title":"Object recognition from local scale-invariant features","volume":"2","author":"david","year":"1999","journal-title":"Proc IEEE ICCV"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref9","first-page":"1145","article-title":"Unsupervised models of images by spike-and-slab rbms","author":"yoshua","year":"2011","journal-title":"Proc ICML"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2366129"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126474"}],"event":{"name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2018,7,23]]},"location":"San Diego, CA","end":{"date-parts":[[2018,7,27]]}},"container-title":["2018 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8472825\/8486434\/08486501.pdf?arnumber=8486501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T13:04:42Z","timestamp":1643202282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8486501\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icme.2018.8486501","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}