Correntropy based feature selection using binary projection

DOI10.1016/j.patcog.2011.04.014zbMath1218.68157OpenAlexW2064382433MaRDI QIDQ2276023

Shuicheng Yan, Xiaotong Yuan, Hui Yan, Jing-Yu Yang

Publication date: 10 August 2011

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.04.014

zbMATH Keywords

mutual informationfeature selectioncorrentropybinary projection matrix

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

A relative decision entropy-based feature selection approach ⋮ A new robust fixed-point algorithm and its convergence analysis

Uses Software

• UCI-ml
• EMD

Cites Work

• Feature subset selection in large dimensionality domains
• Feature selection with dynamic mutual information
• Selection of relevant features and examples in machine learning
• Wrappers for feature subset selection
• Independent component analysis, a new concept?
• Learning Boolean concepts in the presence of many irrelevant features
• Theoretical and empirical analysis of ReliefF and RReliefF
• A formalism for relevance and its application in feature subset selection
• Breakdown points of Cauchy regression-scale estimators
• The earth mover's distance as a metric for image retrieval
• Correntropy: Properties and Applications in Non-Gaussian Signal Processing
• Generalized correlation function: definition, properties, and application to blind equalization
• 10.1162/153244303322753616
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