{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:24:01Z","timestamp":1729664641201,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8]]},"DOI":"10.1109\/whispers.2016.8071697","type":"proceedings-article","created":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T15:27:59Z","timestamp":1508945279000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["A novel manifold learning for dimensionality reduction and classification with hyperspectral image"],"prefix":"10.1109","author":[{"given":"Zezhong","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengxu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingcang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufeng","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yicong","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0499-8"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/TPAMI.2006.56","article-title":"Incremental nonlinear dimensionality reduction by manifold learning","volume":"28","author":"martin","year":"2006","journal-title":"Pattern Analysis and Machine Intelligence IEEE Transactions on"},{"key":"ref12","first-page":"119","article-title":"(2003). Think globally, fit locally: unsupervised learning of low dimensional manifolds","volume":"4","author":"saul","year":"0","journal-title":"The Journal of Machine T earnino Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2010346"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2165957"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2001.978197"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2006.888105"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"4172","DOI":"10.1109\/TGRS.2007.905311","article-title":"Dimensionality reduction based on clonal selection for hyperspectral imagery","volume":"45","author":"liangpei","year":"2007","journal-title":"Geoscience and Remote Sensing IEEE Transactions on"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/1.2723663"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.810712"},{"key":"ref4","first-page":"3129","article-title":"(2013). Large-scale svd and manifold learning","volume":"14","author":"talwalkar","year":"0","journal-title":"The Journal of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.04.006"},{"key":"ref6","first-page":"406","article-title":"(2004). Principal manifolds and nonlinear dimensionality reduction via tangent space alignment","volume":"8","author":"zhen-yue","year":"0","journal-title":"Journal of Shanghai University (English Edition)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587670"},{"key":"ref8","first-page":"705","article-title":"Global versus local methods in nonlinear dimensionality reduction","author":"silva","year":"2000","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"(2000). Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"0","journal-title":"Science"},{"key":"ref2","first-page":"2153","article-title":"(2005). On the Nystrom method for approximating a Gram matrix for improved kernel-based learning","author":"drineas","year":"0","journal-title":"The Journal of Machine Learning Research"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.11.027"},{"key":"ref1","article-title":"Matrix approximation and proj ective clustering via volume sampling","author":"amit","year":"2006","journal-title":"Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm Society for Industrial and Applied Mathematics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.115"},{"key":"ref21","first-page":"66","article-title":"(2009). Dimensionality reduction: A comparative review","volume":"10","author":"van der maaten","year":"0","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","start":{"date-parts":[[2016,8,21]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2016,8,24]]}},"container-title":["2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8053879\/8071655\/08071697.pdf?arnumber=8071697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T00:41:30Z","timestamp":1570236090000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8071697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/whispers.2016.8071697","relation":{},"subject":[],"published":{"date-parts":[[2016,8]]}}}