Twin Mahalanobis distance-based support vector machines for pattern recognition

DOI10.1016/j.ins.2012.02.047zbMath1248.68416OpenAlexW1964118303MaRDI QIDQ712487

Dong Xu, Xin-Jun Peng

Publication date: 17 October 2012

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2012.02.047

zbMATH Keywords

covariance matrixreproducing kernel Hilbert spacesupport vector machinenonparallel hyperplanesMahalanobis distance

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Nonparallel hyperplane support vector machine for binary classification problems ⋮ Fuzzy granular gravitational clustering algorithm for multivariate data ⋮ Joint distance and similarity measure learning based on triplet-based constraints

Uses Software

• AR face
• COIL-20

Cites Work

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• Knowledge based least squares twin support vector machines
• Learning a Mahalanobis distance metric for data clustering and classification
• On minimum class locality preserving variance support vector machine
• TSVR: an efficient twin support vector machine for regression
• A \(\nu \)-twin support vector machine (\(\nu \)-TSVM) classifier and its geometric algorithms
• 10.1162/153244303321897726

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