Least squares recursive projection twin support vector machine for classification

DOI10.1016/J.PATCOG.2011.11.028zbMath1234.68347OpenAlexW2001474526MaRDI QIDQ408064

Zhi-Min Yang, Nai-Yang Deng, Yuan-Hai Shao

Publication date: 28 March 2012

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.11.028

zbMATH Keywords

pattern classificationleast squaresprojection twin support vector machinetwin support vector machine

Mathematics Subject Classification ID

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

Related Items (10)

Asymmetric least squares support vector machine classifiers ⋮ Optimal design of priors constrained by external predictors ⋮ Least squares twin multi-class classification support vector machine ⋮ Structural nonparallel support vector machine for pattern recognition ⋮ Angle-based twin support vector machine ⋮ Least squares projection twin support vector clustering (LSPTSVC) ⋮ Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems ⋮ Robust recursive absolute value inequalities discriminant analysis with sparseness ⋮ \(L_1\)-norm loss-based projection twin support vector machine for binary classification ⋮ A GA-based model selection for smooth twin parametric-margin support vector machine

Uses Software

• UCI-ml
• LIBSVM
• LIBLINEAR
• PRMLT

Cites Work

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• On minimum class locality preserving variance support vector machine
• Pattern recognition with support vector machines. 1st international workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002. Proceedings
• What's wrong with Fisher criterion?
• Support-vector networks
• Recursive projection twin support vector machine via within-class variance minimization
• 10.1162/15324430152748218
• Multicategory proximal support vector machine classifiers
• Face recognition based on the uncorrelated discriminant transformation

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