IEEE - Institute of Electrical and Electronics Engineers, Inc. - Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review

Author(s): J. M. Leiva-Murillo ; Antonio Artes-Rodríguez
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2012
Volume: 42
Page Count: 10
Page(s): 1,180 - 1,189
ISSN (Paper): 1094-6977
ISSN (Online): 1558-2442
DOI: 10.1109/TSMCC.2012.2187191
Regular:

In this paper, we provide a unified study of the application of kernel density estimators to supervised linear feature extraction by means of criteria inspired by information and detection theory.... View More

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