Learning the kernel matrix by maximizing a KFD-based class separability criterion
type: Item
instance of: scholarly article
title: Learning the kernel matrix by maximizing a KFD-based class separability criterion
zbMATH Open document ID: 1111.68628
author: Dit-Yan Yeung
author: Hong Chang
author: Guang Dai
published in: Pattern Recognition
publication date: 2007-05-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5156549
zbMATH Keywords: kernel learning
zbMATH Keywords: Fisher discriminant criterion
zbMATH Keywords: kernel Fisher discriminant
zbMATH Keywords: face recognition
describes a project that uses: FERET
MaRDI profile type: Publication
full work available at URL: j.patcog.2006.12.031
OpenAlex ID: W2052601987
cites work: Choosing multiple parameters for support vector machines
cites work: 10.1162/153244304322765649
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DOI: 10.1016/J.PATCOG.2006.12.031
description: scientific article; zbMATH DE number 5156549