Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis

DOI10.1016/j.patcog.2015.07.008zbMath1394.68289OpenAlexW2191943767WikidataQ53555371 ScholiaQ53555371MaRDI QIDQ1669702

Xixuan Han, Line Clemmensen

Publication date: 4 September 2018

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.07.008

zbMATH Keywords

regularized generalized eigen-decompositionsparse 2D-LDAsparse 3D-LDAsparse discriminant analysissparse supervised feature extraction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination ⋮ Individualized learning for improving kernel Fisher discriminant analysis ⋮ Smoothed \(\ell_1\)-regularization-based line search for sparse signal recovery ⋮ Robust recursive absolute value inequalities discriminant analysis with sparseness ⋮ Generalized eigenvalue decomposition applied to estimation of spatial rPPG distribution of skin ⋮ Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem

Uses Software

• penalizedLDA
• CIFAR
• COIL-20

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