A novel SVM+NDA model for classification with an application to face recognition
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Publication:645858
DOI10.1016/j.patcog.2011.05.004zbMath1225.68230OpenAlexW2083673985MaRDI QIDQ645858
Publication date: 10 November 2011
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2011.05.004
face recognitionsupport vector machines (SVM)small sample size problemlinear discriminant analysis (LDA)kernel NDA and SVMnonparametric discriminant analysis (NDA)
Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)
Related Items (7)
CTSVM: a robust twin support vector machine with correntropy-induced loss function for binary classification problems ⋮ Least squares twin multi-class classification support vector machine ⋮ Using robust dispersion estimation in support vector machines ⋮ Linear Classification of Data with Support Vector Machines and Generalized Support Vector Machines ⋮ Linear and Nonlinear Classifiers of Data with Support Vector Machines and Generalized Support Vector Machines ⋮ Unnamed Item ⋮ Nonparallel support vector machine based on one optimization problem for pattern recognition
Uses Software
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