{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T15:59:59Z","timestamp":1756310399661,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1109\/icmlc.2015.7340935","type":"proceedings-article","created":{"date-parts":[[2015,12,3]],"date-time":"2015-12-03T21:12:04Z","timestamp":1449177124000},"page":"277-282","source":"Crossref","is-referenced-by-count":2,"title":["Radius-margin based support vector machine with LogDet regularizaron"],"prefix":"10.1109","author":[{"given":"Yuan-Yuan","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Xiao-He","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"David","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wang-Meng","family":"Zuo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015042"},{"key":"ref12","first-page":"747","article-title":"Maximum Relative Margin and Data-Dependent Regularization","volume":"11","author":"shivaswamy","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref13","first-page":"169","article-title":"Convex formulations of radius-margin based support vector machines","author":"do","year":"2013","journal-title":"Proceedings of ICML"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2409564"},{"key":"ref15","first-page":"841","article-title":"An efficient sparse metric learning in high-dimensional space via $l_{1}$-penalized log-determinant regularization","author":"oi","year":"2009","journal-title":"Proceedings of ICML"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/11-EJS631"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"72460f","DOI":"10.1117\/12.816961","article-title":"Sparsity regularization for image reconstruction with Poisson data","author":"lingenfelter","year":"2009","journal-title":"Proceeding of IS&T\/SPIE Electronic Imaging International Society for Optics and Photonics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2212243"},{"journal-title":"Convex optimization","year":"2004","author":"stephen","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937693"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609310"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2003.09.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(01)00046-4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04180-8_38"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/72.925563"},{"journal-title":"An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods","year":"2000","author":"nello","key":"ref2"},{"journal-title":"Statistical Learning Theory","year":"1998","author":"naumovich","key":"ref1"},{"key":"ref9","first-page":"668","article-title":"Feature selection for SVMs","author":"weston","year":"2000","journal-title":"Proceeding of NIPS"},{"key":"ref20","first-page":"7","author":"brandt","year":"2008","journal-title":"The Matrix Cookbook"},{"key":"ref22","first-page":"23","article-title":"Fisher discriminant analysis with kernels","volume":"ix","author":"scholkopft","year":"1999","journal-title":"Proc Neural Network Signal Processing"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1023\/A:1007618119488","article-title":"Soft margins for AdaBoost","volume":"42","author":"r\u00e4tsch","year":"2001","journal-title":"Machine Learning"}],"event":{"name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","start":{"date-parts":[[2015,7,12]]},"location":"Guangzhou, China","end":{"date-parts":[[2015,7,15]]}},"container-title":["2015 International Conference on Machine Learning and Cybernetics (ICMLC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7329055\/7340881\/07340935.pdf?arnumber=7340935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T00:59:13Z","timestamp":1498265953000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7340935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icmlc.2015.7340935","relation":{},"subject":[],"published":{"date-parts":[[2015,7]]}}}