A robust graph-based semi-supervised sparse feature selection method

Razieh Sheikhpour; Mehdi Agha Sarram; Sajjad Gharaghani; Mohammad Ali Zare Chahooki

doi:10.1016/j.ins.2020.03.094

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A robust graph-based semi-supervised sparse feature selection method

Razieh Sheikhpour Mehdi Agha Sarram Sajjad Gharaghani Mohammad Ali Zare Chahooki

Year: 2020 Journal: Information Sciences Vol: 531 Pages: 13-30 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.03.094

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Keywords:

Feature selection Outlier Regularization (linguistics) Pattern recognition (psychology) Norm (philosophy) Artificial intelligence Computer science Mathematics Minification Graph Matrix norm Convex function Regular polygon Algorithm Mathematical optimization Theoretical computer science Eigenvalues and eigenvectors

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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

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

A robust graph-based semi-supervised sparse feature selection method

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