{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T21:37:31Z","timestamp":1764020251049,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572104","61402076","61103146"],"award-info":[{"award-number":["61572104","61402076","61103146"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004032","name":"Jilin University","doi-asserted-by":"publisher","award":["93K172017K03"],"award-info":[{"award-number":["93K172017K03"]}],"id":[{"id":"10.13039\/501100004032","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for Central Universities","award":["DUT17JC04"],"award-info":[{"award-number":["DUT17JC04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2894014","type":"journal-article","created":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T03:04:50Z","timestamp":1548126290000},"page":"13433-13444","source":"Crossref","is-referenced-by-count":18,"title":["Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8937-1515","authenticated-orcid":false,"given":"Hongwei","family":"Ge","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiting","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6687-8153","authenticated-orcid":false,"given":"Mingde","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20053"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"key":"ref31","first-page":"1149","article-title":"Laplacian support vector machines trained in the primal","volume":"12","author":"melacci","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.92"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.02.039"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5921-9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3109-x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467333"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.05.005"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2307349"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.11.097"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2401973"},{"key":"ref18","first-page":"31","article-title":"Representational learning with extreme learning machine for big data","volume":"28","author":"kasun","year":"2013","journal-title":"IEEE Intell Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/18.661502"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"3906","DOI":"10.1109\/TIP.2016.2570569","article-title":"Dimension reduction with extreme learning machine","volume":"25","author":"lekamalage","year":"2016","journal-title":"IEEE Trans Image Process"},{"key":"ref3","first-page":"985","article-title":"Extreme learning machine: A new learning scheme of feedforward neural network","volume":"2","author":"huang","year":"2004","journal-title":"Proc IEEE Int Joint Conf Neural Netw"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-011-0019-y"},{"article-title":"UCI repository of machine learning databases","year":"0","author":"blake","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2269774"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.10.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/72.329697"},{"key":"ref9","first-page":"264","article-title":"Fast face recognition via sparse coding and extreme learning machine","volume":"6","author":"he","year":"2014","journal-title":"Cognit Comput"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref20","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 Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.096"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.03.110"},{"key":"ref26","first-page":"1027","article-title":"Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis","volume":"8","author":"sugiyama","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.027"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08620205.pdf?arnumber=8620205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T06:39:05Z","timestamp":1643265545000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8620205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2894014","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}