A novel kernel-based maximum a posteriori classification method

DOI10.1016/j.neunet.2008.11.005zbMath1335.68214OpenAlexW1982901903WikidataQ51853995 ScholiaQ51853995MaRDI QIDQ280412

Kaizhu Huang, Irwin King, Jianke Zhu, Michael R. Lyu, Zenglin Xu

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.11.005

zbMATH Keywords

discriminant analysiskernel methodsmaximum a posteriori

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Maxi-Min discriminant analysis via online learning ⋮ A classification method for binary predictors combining similarity measures and mixture models ⋮ Kernel discriminant analysis and clustering with parsimonious Gaussian process models

Uses Software

• KPCA plus LDA
• FERET

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• Algorithmic Learning Theory
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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