{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:05Z","timestamp":1740169085511,"version":"3.37.3"},"reference-count":36,"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":[{"name":"National Key R&D Program of China","award":["2016YFC1401004"],"award-info":[{"award-number":["2016YFC1401004"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41706010"],"award-info":[{"award-number":["41706010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Qingdao","award":["17-3-3-20-nsh"],"award-info":[{"award-number":["17-3-3-20-nsh"]}]},{"name":"CERNET Innovation Project","award":["NGII20170416"],"award-info":[{"award-number":["NGII20170416"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2902631","type":"journal-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:50:35Z","timestamp":1551747035000},"page":"30220-30233","source":"Crossref","is-referenced-by-count":17,"title":["Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2952-6642","authenticated-orcid":false,"given":"Guoqiang","family":"Zhong","sequence":"first","affiliation":[]},{"given":"Kang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hongxu","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Yuchen","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Junyu","family":"Dong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333759"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45646-0_41"},{"key":"ref30","first-page":"689","article-title":"Multimodal deep learning","author":"ngiam","year":"2011","journal-title":"Proc ICML"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869694"},{"key":"ref35","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":"ref34","first-page":"1","article-title":"Gaussian process latent random field","author":"zhong","year":"2010","journal-title":"Proc AAAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.266"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"journal-title":"Improving Neural Networks by Preventing Co-adaptation of Feature Detectors","year":"2012","author":"hinton","key":"ref14"},{"key":"ref15","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc ICML"},{"key":"ref16","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc ICML"},{"key":"ref17","first-page":"487","article-title":"Learning deep features for scene recognition using places database","author":"zhou","year":"2014","journal-title":"Proc NIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1255"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2359471"},{"key":"ref4","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995496"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref29","first-page":"1692","article-title":"A deep semi-NMF model for learning hidden representations","author":"george","year":"2014","journal-title":"Proc ICML"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2475625"},{"key":"ref8","first-page":"1096","article-title":"Unsupervised feature learning for audio classification using convolutional deep belief networks","author":"lee","year":"2009","journal-title":"Proc NIPS"},{"key":"ref7","first-page":"1185","article-title":"Sparse feature learning for deep belief networks","author":"ranzato","year":"2007","journal-title":"Proc NIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00052"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553453"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254806"},{"key":"ref22","first-page":"66","article-title":"Dimensionality reduction: A comparative review","volume":"10","author":"van der maaten","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref21","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc NIPS"},{"journal-title":"Principal Component Analysis","year":"2002","author":"jolliffe","key":"ref24"},{"article-title":"An introduction to dimensionality reduction using MATLAB","year":"2007","author":"van der maaten","key":"ref23"},{"key":"ref26","first-page":"833","article-title":"Stochastic neighbor embedding","author":"hinton","year":"2002","journal-title":"Proc NIPS"},{"key":"ref25","first-page":"153","article-title":"Locality preserving projections","volume":"16","author":"he","year":"2003","journal-title":"Proc NIPS"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08657740.pdf?arnumber=8657740","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:41:01Z","timestamp":1628624461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8657740\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2902631","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}