Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction

DOI10.1016/j.patcog.2006.04.002zbMath1097.68624OpenAlexW2023751370MaRDI QIDQ2498671

Marco Loog, P. N. Suganthan, A. K. Qin

Publication date: 16 August 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.04.002

zbMATH Keywords

weighted pairwise Fisher criterionnull space of the within-class scatter matrixuncorrelated Fisher discriminant analysis

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (3)

A study on three linear discriminant analysis based methods in small sample size problem ⋮ Face recognition using double sparse local Fisher discriminant analysis ⋮ Recursive ``concave-convex Fisher linear discriminant with applications to face, handwritten digit and terrain recognition

Cites Work

• An efficient algorithm to solve the small sample size problem for LDA
• Face recognition based on the uncorrelated discriminant transformation

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