{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T09:10:09Z","timestamp":1749201009638,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/cisp-bmei.2017.8302284","type":"proceedings-article","created":{"date-parts":[[2018,3,9]],"date-time":"2018-03-09T16:16:30Z","timestamp":1520612190000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization"],"prefix":"10.1109","author":[{"given":"Yaoting","family":"Yue","sequence":"first","affiliation":[]},{"given":"Shunfang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/ijms161226237"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/srep28087"},{"key":"ref12","first-page":"1","article-title":"Developing a trust model for pervasive computing based on apriori association rules learning and bayesian classification","author":"d'angelo","year":"2016","journal-title":"Soft Computing"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2016.1690"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1515\/bmt-2014-0117"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2009.21009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S1357-2725(01)00121-2"},{"key":"ref17","first-page":"555","article-title":"Distributed kernel principal component analysis","volume":"27","author":"balcan","year":"2016","journal-title":"Computer Science"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-015-8059-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/protein\/gzm057"},{"key":"ref4","first-page":"27","article-title":"Linear discriminant analysis","volume":"3","author":"riffenburgh","year":"1960","journal-title":"Chicago"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1077-3142(03)00077-8"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1021\/ie503034j","article-title":"Ensemble kernel principal component analysis for improved nonlinear process monitoring","volume":"54","author":"li","year":"2014","journal-title":"Industrial & Engineering Chemistry Research"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1007\/s00500-014-1332-7","article-title":"A novel svm by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection","volume":"19","author":"zhang","year":"2015","journal-title":"Soft Computing"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1109\/TPAMI.2009.100","article-title":"Kernel entropy component analysis","volume":"32","author":"jenssen","year":"2010","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/j.procs.2015.07.498","article-title":"Medical data classifications using genetic algorithm based generalized kernel linear discriminant analysis","volume":"57","author":"babu","year":"2015","journal-title":"Procedia Computer Science"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1057\/9780230502109_32"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2012.V4.574"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0098345"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/cem.2866"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.08.054"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.06.021"}],"event":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","start":{"date-parts":[[2017,10,14]]},"location":"Shanghai","end":{"date-parts":[[2017,10,16]]}},"container-title":["2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8293044\/8301897\/08302284.pdf?arnumber=8302284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T12:31:22Z","timestamp":1570883482000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8302284\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cisp-bmei.2017.8302284","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}