Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning

Ronghua Shang; Meng Yang; Chiyang Liu; Licheng Jiao; Amir M. Ghalamzan E.; Rustam Stolkin

doi:10.1007/s10994-018-5765-6

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Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning

Ronghua Shang Meng Yang Chiyang Liu Licheng Jiao Amir M. Ghalamzan E.Rustam Stolkin

Year: 2018 Journal: Machine Learning Vol: 108 (4)Pages: 659-686 Publisher: Springer Science+Business Media

DOI: 10.1007/s10994-018-5765-6

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Keywords:

Artificial intelligence Discriminative model Feature selection Pattern recognition (psychology) Computer science Machine learning Cluster analysis Linear discriminant analysis Kernel (algebra) Feature learning Mathematics

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning

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