{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T13:19:38Z","timestamp":1778591978759,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,6]]},"DOI":"10.1109\/cvpr.2010.5540137","type":"proceedings-article","created":{"date-parts":[[2010,8,10]],"date-time":"2010-08-10T17:57:43Z","timestamp":1281463063000},"page":"787-794","source":"Crossref","is-referenced-by-count":29,"title":["Online-batch strongly convex Multi Kernel Learning"],"prefix":"10.1109","author":[{"given":"Francesco","family":"Orabona","sequence":"first","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Luo","family":"Jie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"QP algorithms with guaranteed accuracy and run time for support vector machines","volume":"7","author":"hush","year":"2006","journal-title":"JMLR"},{"key":"ref11","article-title":"On the duality of strong convexity and strong smoothness: Learning applications and matrix regularization","author":"kakade","year":"2009","journal-title":"Technical report TTI"},{"key":"ref12","article-title":"Efficient and accurate lp-norm multiple kernel learning","author":"kloft","year":"2009","journal-title":"Proc NIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409065"},{"key":"ref14","article-title":"Learning the kernel matrix with semidefinite programming","volume":"5","author":"lanckriet","year":"2004","journal-title":"JMLR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315216"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.42"},{"key":"ref18","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"rakotomamonjy","year":"2008","journal-title":"JMLR"},{"key":"ref19","article-title":"Logarithmic regret algorithms for strongly convex repeated games","author":"shalev-shwartz","year":"2007","journal-title":"Technical Report 2007–42"},{"key":"ref4","article-title":"Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs","author":"cawley","year":"2006","journal-title":"Proc IJCNN"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273646"},{"key":"ref3","article-title":"Linear algorithms for online multitask classification","author":"cavallanti","year":"2008","journal-title":"Proc COLT"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553407"},{"key":"ref5","article-title":"LIBSVM: A Library for Support Vector Machines","author":"chang","year":"2001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206592"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1282280.1282340"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459169"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015424"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273598"},{"key":"ref22","article-title":"Large scale multiple kernel learning","volume":"7","author":"sonnenburg","year":"2006","journal-title":"JMLR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390273"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408875"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015341"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459183"}],"event":{"name":"2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","location":"San Francisco, CA, USA","start":{"date-parts":[[2010,6,13]]},"end":{"date-parts":[[2010,6,18]]}},"container-title":["2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5521876\/5539770\/05540137.pdf?arnumber=5540137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,19]],"date-time":"2017-03-19T06:04:03Z","timestamp":1489903443000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5540137\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2010.5540137","relation":{},"subject":[],"published":{"date-parts":[[2010,6]]}}}