Approximate information discriminant analysis: A computationally simple heteroscedastic feature extraction technique

DOI10.1016/J.PATCOG.2007.10.001zbMath1140.68460OpenAlexW1968780149MaRDI QIDQ2476565

Zoran Nenadic, Koel Das

Publication date: 20 March 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.10.001

zbMATH Keywords

entropyclassificationmutual informationfeature extractioninformation theorylinear discriminant analysisBayes error

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Brain-computer interfaces for human gait restoration ⋮ Regularized discriminant entropy analysis ⋮ Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence

Uses Software

• UCI-ml

Cites Work

• Linear dimension reduction and Bayes classification with unknown population parameters
• Statistical Properties of Error Estimators in Performance Assessment of Recognition Systems
• 10.1162/153244303322753742
• Probability of error, equivocation, and the Chernoff bound
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
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