Feature extraction using constrained maximum variance mapping
type: Item
instance of: scholarly article
title: Feature extraction using constrained maximum variance mapping
zbMATH Open document ID: 1167.68437
author: B. E. Eshmatov
published in: Pattern Recognition
publication date: 2008-09-01T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68W05
zbMATH DE Number: 5318759
zbMATH Keywords: multi-manifolds learning
zbMATH Keywords: feature extraction
zbMATH Keywords: LDA
zbMATH Keywords: MVP
zbMATH Keywords: LPP
zbMATH Keywords: UDP
zbMATH Keywords: subspace
describes a project that uses: FERET
describes a project that uses: CMU PIE
MaRDI profile type: Publication
full work available at URL: j.patcog.2008.05.014
OpenAlex ID: W2016293853
cites work: 10.1162/153244304322972667
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cites work: Semidefinite Programming
DOI: 10.1016/J.PATCOG.2008.05.014
description: scientific article; zbMATH DE number 5318759