DC Field | Value | Language |
---|---|---|
dc.contributor.author | Min, H.-K. | ko |
dc.contributor.author | Hou, Y. | ko |
dc.contributor.author | Song, Iickho | ko |
dc.contributor.author | Lee, S. | ko |
dc.contributor.author | Kang, H. G. | ko |
dc.date.accessioned | 2013-03-29T19:00:01Z | - |
dc.date.available | 2013-03-29T19:00:01Z | - |
dc.date.created | 2012-11-06 | - |
dc.date.created | 2012-11-06 | - |
dc.date.created | 2012-11-06 | - |
dc.date.issued | 2011-08-25 | - |
dc.identifier.citation | 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp.759 - 761 | - |
dc.identifier.uri | http://hdl.handle.net/10203/173022 | - |
dc.description.abstract | In small sample size problems, the null space-based linear discriminant analysis (NLDA) provides a good discrimination performance but suffers from a complexity burden. Some schemes based on QR factorization and eigendecomposition have been proposed for complexity reduction. In this paper, we propose a scheme based on Cholesky decomposition for a further reduction of the complexity. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Complexity reduction for null space-based linear discriminant analysis | - |
dc.type | Conference | - |
dc.identifier.wosid | 000297354400132 | - |
dc.identifier.scopusid | 2-s2.0-80054723827 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 759 | - |
dc.citation.endingpage | 761 | - |
dc.citation.publicationname | 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing | - |
dc.identifier.conferencecountry | CN | - |
dc.identifier.conferencelocation | Victoria, BC | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Song, Iickho | - |
dc.contributor.nonIdAuthor | Min, H.-K. | - |
dc.contributor.nonIdAuthor | Hou, Y. | - |
dc.contributor.nonIdAuthor | Lee, S. | - |
dc.contributor.nonIdAuthor | Kang, H. G. | - |
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