Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space

DOI10.1016/j.patcog.2008.01.016zbMath1147.68691OpenAlexW2046368494MaRDI QIDQ936440

Myriam Herrera, Luis G. Rueda

Publication date: 13 August 2008

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

Full work available at URL: http://hdl.handle.net/10533/139803

zbMATH Keywords

discriminant analysispattern classificationLinear Dimensionality Reduction

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (4)

The C-loss function for pattern classification ⋮ An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition ⋮ Heteroscedastic linear feature extraction based on sufficiency conditions ⋮ Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

Uses Software

• UCI-ml
• KPCA plus LDA

Cites Work

• Two-dimensional discriminant transform for face recognition
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
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