{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:04:24Z","timestamp":1773414264435,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/mlsp.2017.8168155","type":"proceedings-article","created":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T14:22:14Z","timestamp":1513174934000},"page":"1-6","source":"Crossref","is-referenced-by-count":46,"title":["Limiting the reconstruction capability of generative neural network using negative learning"],"prefix":"10.1109","author":[{"given":"Asim","family":"Munawar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phongtharin","family":"Vinayavekhin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"De Magistris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.179"},{"key":"ref12","first-page":"1097","article-title":"Im-agenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.8"},{"key":"ref14","first-page":"599","author":"hinton","year":"2012","journal-title":"A practical guide to training restricted Boltzmann Machines"},{"key":"ref15","article-title":"Youtube","year":"2014","journal-title":"tokyo express way gh4 4k"},{"key":"ref16","author":"krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","author":"diederik","year":"2014","journal-title":"CoRR vol abs\/1412 6980"},{"key":"ref4","article-title":"Real-time small obstacle detection on highways using compressive rbm road re-construction","author":"creusot","year":"2015","journal-title":"IEEE Intelligent Vehicles Symposium"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2007.4414345"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0041"},{"key":"ref7","first-page":"3371","article-title":"Stacked denoising autoen-coders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.118"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2014.6856446"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.107"}],"event":{"name":"2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)","location":"Tokyo","start":{"date-parts":[[2017,9,25]]},"end":{"date-parts":[[2017,9,28]]}},"container-title":["2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8122073\/8168099\/08168155.pdf?arnumber=8168155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T18:12:33Z","timestamp":1516212753000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8168155\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2017.8168155","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}