{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:59:08Z","timestamp":1730343548393,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,24]]},"DOI":"10.23919\/eusipco47968.2020.9287379","type":"proceedings-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T21:54:18Z","timestamp":1608328458000},"page":"1618-1622","source":"Crossref","is-referenced-by-count":0,"title":["Online Kernel-Based Nonlinear Neyman-Pearson Classification"],"prefix":"10.23919","author":[{"given":"Basarbatu","family":"Can","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mine","family":"Kerpicci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huseyin","family":"Ozkan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2011.6027289"},{"journal-title":"Neural Networks for Pattern Recognition","year":"1995","author":"bishop","key":"ref11"},{"journal-title":"The Perceptron A perceiving and recognizing automaton Project PARA","year":"1957","author":"rosenblatt","key":"ref12"},{"key":"ref13","first-page":"154","article-title":"Iterative methods for concave programming","volume":"6","author":"uzawa","year":"1958","journal-title":"Studies in Linear and Nonlinear Programming"},{"article-title":"UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences. 2019","year":"0","author":"dua","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(03)00086-8"},{"journal-title":"An Introduction to Signal Detection and Estimation","year":"2013","author":"poor","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aao1659"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961200"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835857"},{"key":"ref2","first-page":"2","article-title":"Learning with the Neyman-Pearson and min-max criteria","author":"cannon","year":"2002","journal-title":"Los Alamos National Lab Tech Rep"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1376"},{"key":"ref9","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2008","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 28th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2021,1,18]]},"location":"Amsterdam, Netherlands","end":{"date-parts":[[2021,1,21]]}},"container-title":["2020 28th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9287308\/9287310\/09287379.pdf?arnumber=9287379","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T03:15:57Z","timestamp":1614050157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9287379\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,24]]},"references-count":15,"URL":"https:\/\/doi.org\/10.23919\/eusipco47968.2020.9287379","relation":{},"subject":[],"published":{"date-parts":[[2021,1,24]]}}}