Primal explicit max margin feature selection for nonlinear support vector machines

Aditya Tayal; Thomas F. Coleman; Yuying Li

doi:10.1016/j.patcog.2014.01.003

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Primal explicit max margin feature selection for nonlinear support vector machines

Aditya Tayal Thomas F. Coleman Yuying Li

Year: 2014 Journal: Pattern Recognition Vol: 47 (6)Pages: 2153-2164 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2014.01.003

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Keywords:

Support vector machine Feature selection Margin (machine learning) Mathematical optimization Feature (linguistics) Convex optimization Convergence (economics) Computer science Optimization problem Mathematics Algorithm Regular polygon Artificial intelligence Machine learning

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Primal explicit max margin feature selection for nonlinear support vector machines

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