On minimum class locality preserving variance support vector machine

DOI10.1016/j.patcog.2010.02.013zbMath1213.68510OpenAlexW2010628381MaRDI QIDQ975182

B. E. Eshmatov

Publication date: 8 June 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.02.013

zbMATH Keywords

supervised learningsupport vector machinelocality preserving projectionsminimum class variance support machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (11)

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation ⋮ Improved large margin classifier via bounding hyperellipsoid ⋮ Least squares recursive projection twin support vector machine for classification ⋮ Generalized locality preserving maxi-min margin machine ⋮ On minimum distribution discrepancy support vector machine for domain adaptation ⋮ Twin Mahalanobis distance-based support vector machines for pattern recognition ⋮ Recursive projection twin support vector machine via within-class variance minimization ⋮ A locality correlation preserving support vector machine ⋮ SSC-EKE: semi-supervised classification with extensive knowledge exploitation ⋮ A local and global classification machine with collaborative mechanism ⋮ \(\upsilon\)-support vector machine based on discriminant sparse neighborhood preserving embedding

Uses Software

• UCI-ml
• LIBSVM
• FRSDE
• KPCA plus LDA
• Yale Face

Cites Work

• Learning a Mahalanobis distance metric for data clustering and classification
• FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation
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