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Sparse least squares support vector training in the reduced empirical feature space
Abe S. Pattern Analysis & Applications 10(3): 203-214, 2007. Type: Article
Applications of pattern recognition methods include the differentiation of blood cells, the recognition of numerals, and image analysis. One such method is vector support training, where the
-dimensional vectors of ...
Jan 4 2008
Support vector machines for pattern classification (Advances in Pattern Recognition)
Abe S., Springer-Verlag New York, Inc., Secaucus, NJ, 2005. 343 pp. Type: Book (9781852339296)
The use of support vector machines (SVMs) is a relatively new and very promising classification technique, developed by Vapnik and his group at AT&T Bell Laboratories as an alternative training technique for polynomial, radial basi...
Feb 28 2006
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