{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:04:57Z","timestamp":1729641897626,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1109\/aipr.2014.7041924","type":"proceedings-article","created":{"date-parts":[[2015,2,18]],"date-time":"2015-02-18T00:21:38Z","timestamp":1424218898000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["On Parzen windows classifiers"],"prefix":"10.1109","author":[{"given":"Jing","family":"Peng","sequence":"first","affiliation":[]},{"given":"Guna","family":"Seetharaman","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"565","article-title":"Adaptive quasi-conformal kernel nearest neighbor classification","volume":"26","author":"peng","year":"2005","journal-title":"IEEE Trans on Pattern Analysis and Machine Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2307\/1267351"},{"journal-title":"Introduction to the Theory of Neural Computation","year":"1991","author":"hertz","key":"ref12"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2006.05.011","article-title":"Generalized regularized least-squares learning with predefined features in a hilbert space","author":"li","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref14","first-page":"2551","article-title":"Vc theory of large margin multi -category classifiers","volume":"8","author":"guermeur","year":"2007","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","first-page":"439","article-title":"Pac-bayes and margins","volume":"15","author":"langford","year":"2002","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"2131","article-title":"Efficient margin maximizing with boosting","volume":"6","author":"ratsch","year":"2005","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Statistical Learning Theory Ser Adaptive and Learning Systems for Signal Processing Communications and Control","year":"1998","author":"vapnik","key":"ref17"},{"key":"ref18","first-page":"537","article-title":"The mathematics of learning: Dealing with data","volume":"50","author":"poggio","year":"2003","journal-title":"Notices of the American Mathematical Society"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018946025316"},{"journal-title":"Patten Classification","year":"2000","author":"duda","key":"ref4"},{"key":"ref3","first-page":"537","article-title":"The mathematics of learning: Dealing with data","volume":"50","author":"poggio","year":"2003","journal-title":"Notices of the AMS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.849821"},{"key":"ref5","first-page":"1","article-title":"An active learning algorithm based on parzen window classification","volume":"10","author":"lan","year":"2010","journal-title":"Journal of Machine Learning Research Workshop and Conference Proceedings"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/34.506411"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033219"},{"journal-title":"Solutions of Ill-posed Problems","year":"1977","author":"tikhonov","key":"ref2"},{"journal-title":"Statistical Learning Theory","year":"1998","author":"vapnik","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.902906"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s102080010030"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177704472"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2005.03.001"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"}],"event":{"name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","start":{"date-parts":[[2014,10,14]]},"location":"Washington, DC, USA","end":{"date-parts":[[2014,10,16]]}},"container-title":["2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7029842\/7041894\/07041924.pdf?arnumber=7041924","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T05:45:38Z","timestamp":1498196738000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7041924\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/aipr.2014.7041924","relation":{},"subject":[],"published":{"date-parts":[[2014,10]]}}}