Supervised Feature Selection by Robust Sparse Reduced-Rank Regression

Rongyao Hu; Xiaofeng Zhu; Wei He; Jilian Zhang; Shichao Zhang

doi:10.1007/978-3-319-49586-6_50

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Supervised Feature Selection by Robust Sparse Reduced-Rank Regression

Rongyao Hu Xiaofeng Zhu Wei He Jilian Zhang Shichao Zhang

Year: 2016 Lecture notes in computer science Pages: 700-713 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-49586-6_50

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Keywords:

Feature selection Artificial intelligence Computer science Discriminative model Outlier Machine learning Pattern recognition (psychology) Subspace topology Regression Rank (graph theory) Lasso (programming language) Feature (linguistics) Selection (genetic algorithm) Mathematics Statistics

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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

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression

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