{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T05:39:44Z","timestamp":1648705184672},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2009,9]]},"abstract":" Using local data information, the recently proposed local Fisher Discriminant Analysis (LFDA) algorithm18<\/jats:sup> provides a new way of handling the multimodal issues within classes where the conventional Fisher Discriminant Analysis (FDA) algorithm fails. Like the FDA algorithm (global counterpart), the LFDA suffers when it is applied to the higher dimensional data sets. In this paper, we propose a new formulation by which a robust algorithm can be formed. The new algorithm offers more robust results for higher dimensional data sets when compared with the LFDA in most cases. By extensive simulation studies, we have demonstrated the practical usefulness and robustness of our new algorithm in data visualization. <\/jats:p>","DOI":"10.1142\/s0218001409007478","type":"journal-article","created":{"date-parts":[[2009,9,8]],"date-time":"2009-09-08T11:43:31Z","timestamp":1252410211000},"page":"1129-1143","source":"Crossref","is-referenced-by-count":4,"title":["COMPREHENSIVE ANALYSIS FOR THE LOCAL FISHER DISCRIMINANT ANALYSIS"],"prefix":"10.1142","volume":"23","author":[{"given":"JUNBIN","family":"GAO","sequence":"first","affiliation":[{"name":"School of Computing and Mathematics, Charles Sturt University, Bathurst Campus, NSW 2795, Australia"}]},{"given":"PAUL W. H.","family":"KWAN","sequence":"additional","affiliation":[{"name":"School of Science and Technology, University of New England, Armidale, NSW 2351, Australia"}]},{"given":"XIAODI","family":"HUANG","sequence":"additional","affiliation":[{"name":"School of Computing and Mathematics, Charles Sturt University, Albury Campus, NSW 2640, Australia"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001407005338"},{"key":"rf3","volume-title":"Pattern Classification","author":"Duda R.","year":"2001"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"rf5","volume-title":"Introduction to Statistical Pattern Recognition","author":"Fukunaga K.","year":"1990"},{"key":"rf6","volume-title":"Matrix Computations","author":"Golub G.","year":"1996"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.74"},{"key":"rf10","volume-title":"Advances in Neural Information Processing Systems","volume":"16","author":"He X.","year":"2004"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(00)00084-4"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1137\/0718026"},{"key":"rf17","volume-title":"Learning with Kernels","author":"Sch\u00f6lkopf B.","year":"2002"},{"key":"rf18","first-page":"1027","volume":"8","author":"Sugiyama M.","journal-title":"J. Mach. Learn. Res."},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"rf20","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001407005466"},{"key":"rf22","first-page":"483","volume":"6","author":"Ye J.","journal-title":"J. Mach. Learn. Res."},{"key":"rf23","first-page":"1183","volume":"7","author":"Ye J.","journal-title":"J. Mach. Learn. Res."}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001409007478","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:41:14Z","timestamp":1565196074000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001409007478"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,9]]},"references-count":15,"journal-issue":{"issue":"06","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2009,9]]}},"alternative-id":["10.1142\/S0218001409007478"],"URL":"https:\/\/doi.org\/10.1142\/s0218001409007478","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,9]]}}}