{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:29:54Z","timestamp":1761708594594},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2010,11,1]],"date-time":"2010-11-01T00:00:00Z","timestamp":1288569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw."],"published-print":{"date-parts":[[2010,11]]},"DOI":"10.1109\/tnn.2010.2059042","type":"journal-article","created":{"date-parts":[[2010,11,10]],"date-time":"2010-11-10T20:53:44Z","timestamp":1289422424000},"page":"1719-1730","source":"Crossref","is-referenced-by-count":12,"title":["Kernel Wiener Filter and Its Application to Pattern Recognition"],"prefix":"10.1109","volume":"21","author":[{"given":"Hirokazu","family":"Yoshino","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Chen Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshikazu","family":"Washizawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukihiko","family":"Yamashita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/72.914517"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(86)90063-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2006.1660755"},{"key":"ref13","first-page":"131","volume":"190","author":"rifkin","year":"2003","journal-title":"Advances in Learning Theory Methods Models and Applications"},{"key":"ref14","author":"rosenfeld","year":"1982","journal-title":"Digital Picture Processing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"},{"key":"ref16","year":"1987","journal-title":"Image Recovery"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/153244303765208412"},{"key":"ref18","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2005.1628697"},{"key":"ref4","first-page":"289","article-title":"regularized kernel-based wiener filtering. application to magnetoencephalographic signals denoising","volume":"4","author":"constantin","year":"2005","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref3","author":"andrews","year":"1977","journal-title":"Digital Image Restoration"},{"key":"ref6","author":"chang","year":"2001","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.882115"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1950","DOI":"10.1109\/TNET.2012.2187923","article-title":"An information theoretic approach of designing sparse kernel adaptive filters","volume":"20","author":"liu","year":"2009","journal-title":"IEEE Trans Neural Netw"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref2","first-page":"1069","article-title":"svm maximizing margin in the input space","volume":"2","author":"akaho","year":"2002","journal-title":"Proc 9th ICONIP"},{"key":"ref9","first-page":"536","volume":"11","author":"mika","year":"1999","journal-title":"Advances in neural information processing systems"},{"key":"ref1","author":"abe","year":"2005","journal-title":"Support Vector Machine for Pattern Classification"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2006.1660724"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2059042"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/78.485932"},{"key":"ref24","author":"weston","year":"2002","journal-title":"Kernel dependency estimation"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.861"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/2946.001.0001","author":"wiener","year":"1949","journal-title":"Extrapolation Interpolation and Smoothing of Stationary Time Series"}],"container-title":["IEEE Transactions on Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/72\/5617343\/05617345.pdf?arnumber=5617345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:44:07Z","timestamp":1633913047000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5617345\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,11]]},"references-count":25,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnn.2010.2059042","relation":{},"ISSN":["1045-9227","1941-0093"],"issn-type":[{"value":"1045-9227","type":"print"},{"value":"1941-0093","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,11]]}}}