Locality preserving projection least squares twin support vector machine for pattern classification

Sugen Chen; Xiao‐Jun Wu; Juan Xu

doi:10.1007/s10044-018-0728-x

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Locality preserving projection least squares twin support vector machine for pattern classification

Sugen Chen Xiao‐Jun Wu Juan Xu

Year: 2018 Journal: Pattern Analysis and Applications Vol: 23 (1)Pages: 1-13 Publisher: Springer Science+Business Media

DOI: 10.1007/s10044-018-0728-x

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Keywords:

Locality Projection (relational algebra) Support vector machine Pattern recognition (psychology) Least-squares function approximation Least squares support vector machine Artificial intelligence Computer science Algorithm Mathematics Statistics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Locality preserving projection least squares twin support vector machine for pattern classification

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