A modification of kernel discriminant analysis for high-dimensional data-with application to face recognition

DOI10.1016/J.SIGPRO.2009.09.025zbMath1194.94163OpenAlexW1977943920MaRDI QIDQ985593

Dake Zhou, Zhen-Min Tang

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.09.025

zbMATH Keywords

feature extractionkernel methodkernel discriminant analysis (KDA)small sample size (SSS)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Effective and efficient Grassfinch kernel for SVM classification and its application to recognition based on image set

Uses Software

• KPCA plus LDA

Cites Work

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• Face recognition using a kernel fractional-step discriminant analysis algorithm
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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