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A discriminant model for the pattern recognition of linearly independent samples

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Publication:430821
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DOI10.1007/S00034-011-9337-2zbMath1241.68095OpenAlexW2015392120MaRDI QIDQ430821

M. Omair Ahmad, Wei Wu

Publication date: 26 June 2012

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-011-9337-2


zbMATH Keywords

pattern recognitionface recognitionlinear discriminant analysissmall sample size problemdiscriminant modellinearly independent samples


Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)



Uses Software

  • KPCA plus LDA



Cites Work

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  • A generalised K-L expansion method which can deal with small sample size and high-dimensional problems
  • Regularized discriminant analysis and its application to face recognition
  • Why direct LDA is not equivalent to LDA
  • A comparison of generalized linear discriminant analysis algorithms
  • An efficient kernel discriminant analysis method
  • Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition
  • A direct LDA algorithm for high-dimensional data -- with application to face recognition




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