Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion

DOI10.1016/J.PATCOG.2007.03.030zbMath1122.68541OpenAlexW2061375761MaRDI QIDQ996455

Yixiong Liang, Yingjun Pan, Weiguo Gong, Chengrong Li

Publication date: 14 September 2007

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.03.030

zbMATH Keywords

decorrelationnull space ldauncorrelated ldaweighted pairwise Fisher criterion

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (4)

A new kernel fuzzy based feature extraction method using attraction points ⋮ Bagging null space locality preserving discriminant classifiers for face recognition ⋮ Intelligent design of waste heat recovery systems using thermoelectric generators and optimization tools ⋮ Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition

Uses Software

• KPCA plus LDA
• FERET
• AR face

Cites Work

• Unnamed Item
• Independent component analysis, a new concept?
• Face recognition using direct, weighted linear discriminant analysis and modular subspaces
• Generalizing relevance weighted LDA
• A shape- and texture-based enhanced Fisher classifier for face recognition
• Face recognition based on the uncorrelated discriminant transformation
• A theorem on the uncorrelated optimal discriminant vectors
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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