{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T17:07:51Z","timestamp":1780333671979,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/icdsp.2016.7868610","type":"proceedings-article","created":{"date-parts":[[2017,3,7]],"date-time":"2017-03-07T19:17:57Z","timestamp":1488914277000},"page":"511-515","source":"Crossref","is-referenced-by-count":6,"title":["Efficient representation learning for high-dimensional imbalance data"],"prefix":"10.1109","author":[{"given":"Bilal","family":"Mirza","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stanley","family":"Kok","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiping","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Kiang Yeo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoping","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiuwen","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose","family":"Sepulveda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","first-page":"31","article-title":"Representational Learning with ELMs for Big Data","volume":"28","author":"kasun","year":"2013","journal-title":"IEEE Intelligent Systems"},{"key":"ref11","article-title":"Learning Multiple Layers of Features from Tiny Images","volume":"1","author":"krizhevsky","year":"2009","journal-title":"Computer Science Department University of Toronto Tech Rep"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","article-title":"Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories","volume":"106","author":"li","year":"2007","journal-title":"Computer Vision and Image Understanding"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACV.1994.341300"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1007\/978-3-642-72201-1_25","article-title":"Characterizing Virtual Eigensignatures for General Purpose Face Recognition","volume":"163","author":"graham","year":"1998","journal-title":"Face Recognition From Theory to Applications NATO ASI Series F Computer and Systems Sciences"},{"key":"ref15","article-title":"An Analysis of Single-Layer Networks in Unsupervised Feature Learning","author":"coates","year":"2011","journal-title":"Int Conf on Artificial Intelligence and Statistics"},{"key":"ref16","article-title":"Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features","author":"jia","year":"2012","journal-title":"IEEE Con! on Computer Vision and Pattern Recognition"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130310"},{"key":"ref18","article-title":"{UCI} Machine learning repository","author":"frank","year":"2010","journal-title":"University of California Irvine School of Information and Computer Sciences"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2016.04.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-013-9286-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS.2013.6782785"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref8","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":"J Machine Learning Research"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the Dimensionality of Data with Neural Networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref9","first-page":"693","article-title":"Efficient Learning of Deep Boltzmann Machines","volume":"9","author":"salakhutdinov","year":"2010","journal-title":"J Machine Learning Research"}],"event":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","location":"Beijing, China","start":{"date-parts":[[2016,10,16]]},"end":{"date-parts":[[2016,10,18]]}},"container-title":["2016 IEEE International Conference on Digital Signal Processing (DSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7859073\/7868496\/07868610.pdf?arnumber=7868610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T13:59:02Z","timestamp":1601733542000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7868610\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icdsp.2016.7868610","relation":{},"subject":[],"published":{"date-parts":[[2016,10]]}}}