Sparse L-norm least squares support vector machine with feature selection

Yuan‐Hai Shao; Chun‐Na Li; Ming-Zeng Liu; Zhen Wang; Nai-Yang Deng

doi:10.1016/j.patcog.2018.01.016

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Sparse L-norm least squares support vector machine with feature selection

Yuan‐Hai Shao Chun‐Na Li Ming-Zeng Liu Zhen Wang Nai-Yang Deng

Year: 2018 Journal: Pattern Recognition Vol: 78 Pages: 167-181 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2018.01.016

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Keywords:

Hyperplane Support vector machine Norm (philosophy) Mathematics Feature selection Least squares support vector machine Mathematical optimization Weight Pattern recognition (psychology) Algorithm Artificial intelligence Computer science Combinatorics

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Sparse L-norm least squares support vector machine with feature selection

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