Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

DOI10.1016/j.patcog.2011.10.008zbMath1231.68226OpenAlexW1993603321MaRDI QIDQ663376

Tommy W. S. Chow, Zhao Zhang, Mingbo Zhao

Publication date: 14 February 2012

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.10.008

zbMATH Keywords

discriminative learningdimensionality reductionsemi-supervised learningtrace ratio criterion

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (6)

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition ⋮ Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction ⋮ Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction ⋮ A robust graph-based semi-supervised sparse feature selection method ⋮ A survey on semi-supervised feature selection methods ⋮ A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction

Uses Software

• KPCA plus LDA
• SIMPLIcity
• COIL-100

Cites Work

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• Class label versus sample label-based CCA
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• Semi-supervised orthogonal discriminant analysis via label propagation
• Orthogonal neighborhood preserving discriminant analysis for face recognition
• A generalized Foley–Sammon transform based on generalized fisher discriminant criterion and its application to face recognition
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• RELATIONS BETWEEN TWO SETS OF VARIATES
• Face recognition based on the uncorrelated discriminant transformation

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