DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S | - |
dc.date.accessioned | 2016-03-31T12:45:38Z | - |
dc.date.available | 2016-03-31T12:45:38Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2003-01 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.other | 2003-OAK-0000003683 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/18339 | - |
dc.description.abstract | As an alternative to the conventional Hebb-type unsupervised learning, differential learning was studied in the domain of Hebb's rule [1] and decorrelation [2]. In this paper we present an ICA algorithm which employs differential learning, thus named as differential ICA. We derive a differential ICA algorithm in the framework of maximum likelihood estimation and random walk model. Algorithm derivation using the natural gradient and local stability analysis are provided. Usefulness of the algorithm is emphasized in the case of blind separation of temporally correlated sources and is demonstrated through a simple numerical example. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.isPartOf | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.subject | INDEPENDENT COMPONENT ANALYSIS | - |
dc.subject | BLIND SOURCE SEPARATION | - |
dc.subject | LEARNING ALGORITHMS | - |
dc.title | Differential ICA | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1007/3-540-44989-2_9 | - |
dc.author.google | Choi, S | - |
dc.relation.volume | 2714 | - |
dc.relation.startpage | 68 | - |
dc.relation.lastpage | 75 | - |
dc.contributor.id | 10077620 | - |
dc.relation.journal | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Conference Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | LECTURE NOTES IN COMPUTER SCIENCE, v.2714, pp.68 - 75 | - |
dc.identifier.wosid | 000185378100009 | - |
dc.date.tcdate | 2018-03-23 | - |
dc.citation.endPage | 75 | - |
dc.citation.startPage | 68 | - |
dc.citation.title | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.citation.volume | 2714 | - |
dc.contributor.affiliatedAuthor | Choi, S | - |
dc.identifier.scopusid | 2-s2.0-35248827537 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.subject.keywordPlus | INDEPENDENT COMPONENT ANALYSIS | - |
dc.subject.keywordPlus | BLIND SOURCE SEPARATION | - |
dc.subject.keywordPlus | LEARNING ALGORITHMS | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.