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Updated: Jul 15, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Twin Support Vector Machines for pattern classification
Jayadeva1, R Khemchandani, Suresh Chandra
1Department of Electrical Engineering, Indian Institute of Technology, Hauz-Khas, New Delhi, India. jayadeva@ee.iitd.ac.in
Abstract:
We propose Twin SVM, a binary SVM classifier that determines two nonparallel planes by solving two related SVM-type problems, each of which is smaller than in a conventional SVM. The Twin SVM formulation is in the spirit of proximal SVMs via generalized eigenvalues. On several benchmark data sets, Twin SVM is not only fast, but shows good generalization. Twin SVM is also useful for automatically discovering two-dimensional projections of the data.
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