Least squares recursive projection twin support vector machine for classification

Yuan‐Hai Shao; Nai-Yang Deng; Zhimin Yang

doi:10.1016/j.patcog.2011.11.028

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Least squares recursive projection twin support vector machine for classification

Yuan‐Hai Shao Nai-Yang Deng Zhimin Yang

Year: 2011 Journal: Pattern Recognition Vol: 45 (6)Pages: 2299-2307 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2011.11.028

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Keywords:

Support vector machine Projection (relational algebra) Least squares support vector machine Least-squares function approximation Quadratic programming Binary classification Binary number Regularization (linguistics) Generalization Computer science Mathematics Algorithm Simple (philosophy) Mathematical optimization Artificial intelligence

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Least squares recursive projection twin support vector machine for classification

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