{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T05:03:02Z","timestamp":1770267782138,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/icpr.2016.7899688","type":"proceedings-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T21:12:47Z","timestamp":1493068367000},"page":"531-536","source":"Crossref","is-referenced-by-count":4,"title":["Training robust models using Random Projection"],"prefix":"10.1109","author":[{"family":"Nguyen Xuan Vinh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah","family":"Erfani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sakrapee","family":"Paisitkriangkrai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Bailey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Leckie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kotagiri","family":"Ramamohanarao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","volume":"abs 1104 3250","author":"rifai","year":"2011","journal-title":"Adding noise to the input of a model trained with a regularized objective"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1996.8.3.643"},{"key":"ref12","volume":"abs 1412 5567","author":"hannun","year":"2014","journal-title":"Deep speech Scaling up end-to-end speech recognition"},{"key":"ref13","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01347-8_26"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5466-8"},{"key":"ref16","volume":"abs 1412 4564","author":"vedaldi","year":"2014","journal-title":"Matconvnet &#x2014; convolutional neural networks for matlab"},{"key":"ref17","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref19","first-page":"3133","article-title":"Do we need hundreds of classifiers to solve real world classification problems?","volume":"15","author":"fern\u00e1ndez-delgado","year":"2014","journal-title":"JMLR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.1.108"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref6","first-page":"351","article-title":"Dropout training as adaptive regularization","author":"wager","year":"2013","journal-title":"NIPS"},{"key":"ref5","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"JMLR"},{"key":"ref8","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"2013","journal-title":"ICML"},{"key":"ref7","volume":"abs 1506 8700","author":"bouthillier","year":"2016","journal-title":"Dropout as data augmentation"},{"key":"ref2","volume":"abs 1412 6572","author":"goodfellow","year":"2014","journal-title":"Explaining and Harnessing Adversarial Examples"},{"key":"ref1","volume":"abs 1312 6199","author":"szegedy","year":"2013","journal-title":"Intriguing properties of neural networks"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-0000(03)00025-4"}],"event":{"name":"2016 23rd International Conference on Pattern Recognition (ICPR)","location":"Cancun","start":{"date-parts":[[2016,12,4]]},"end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 23rd International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7893644\/7899596\/07899688.pdf?arnumber=7899688","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T01:24:27Z","timestamp":1506993867000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7899688\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icpr.2016.7899688","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}