What's wrong with Fisher criterion?

DOI10.1016/S0031-3203(02)00071-7zbMath1006.68924WikidataQ57812199 ScholiaQ57812199MaRDI QIDQ1860253

David Zhang, Jian Yang, Jing-Yu Yang

Publication date: 20 February 2003

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

zbMATH Keywords

feature extractionlinear discriminant analysis (LDA)handwritten digit recognitionFisher criterion

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

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Least squares recursive projection twin support vector machine for classification ⋮ A novel method for Fisher discriminant analysis. ⋮ Theory analysis on FSLDA and ULDA. ⋮ UODV: Improved algorithm and generalized theory. ⋮ Supervised dimensionality reduction via sequential semidefinite programming ⋮ The random electrode selection ensemble for EEG signal classification ⋮ Linear dimension reduction in classification: adaptive procedure for optimum results ⋮ Recursive projection twin support vector machine via within-class variance minimization ⋮ WAVELET-FACE BASED SUBSPACE LDA METHOD TO SOLVE SMALL SAMPLE SIZE PROBLEM IN FACE RECOGNITION

Cites Work

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• An Optimal Set of Discriminant Vectors
• Face recognition based on the uncorrelated discriminant transformation
• A theorem on the uncorrelated optimal discriminant vectors

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