Pareto models for discriminative multiclass linear dimensionality reduction

DOI10.1016/j.patcog.2014.11.008zbMath1374.68362OpenAlexW2008178024MaRDI QIDQ1677856

Frank P. Ferrie, Karim T. Abou-Moustafa, Fernando De La Torre

Publication date: 13 November 2017

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

Full work available at URL: https://figshare.com/articles/journal_contribution/Pareto_models_for_discriminative_multiclass_linear_dimensionality_reduction/6557285

zbMATH Keywords

Fisher discriminant analysismultiobjective optimizationPareto optimalityKullback-Leibler divergencemetric learningsubspace learningfeature transformationsupervised linear dimensionality reduction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Measures of information, entropy (94A17)

Related Items (1)

Regularized coplanar discriminant analysis for dimensionality reduction

Uses Software

• UCI-ml
• ElemStatLearn
• MNIST

Cites Work

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• Theory of multiobjective optimization
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• Linear dimensionality reduction using relevance weighted LDA
• CANONICAL VARIATE ANALYSIS-A GENERAL MODEL FORMULATION
• Multicriteria Optimization
• The elements of statistical learning. Data mining, inference, and prediction
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
• Generalized homotopy approach to multiobjective optimization.

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