Recursive ``concave-convex Fisher linear discriminant with applications to face, handwritten digit and terrain recognition

DOI10.1016/j.patcog.2011.07.008zbMath1225.68239OpenAlexW2048126863MaRDI QIDQ645857

Juan-Miguel Gracia

Publication date: 10 November 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.07.008

zbMATH Keywords

extracting featuresFisher linear discriminantrecursive concave-convex dimension reduction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Generalized two-dimensional linear discriminant analysis with regularization ⋮ Robust bilateral \(L_p\)-norm two-dimensional linear discriminant analysis ⋮ Robust recursive absolute value inequalities discriminant analysis with sparseness

Uses Software

• Yale Face
• ORL face

Cites Work

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• View-based recognition of real-world textures.
• Principal component analysis.
• Penalized discriminant analysis
• Recursive projection twin support vector machine via within-class variance minimization
• Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction
• An optimal transformation for discriminant and principal component analysis
• Flexible Discriminant Analysis by Optimal Scoring

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