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  Abe, Shigeo Add to Alert Profile  
 
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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 m-dimensional vectors of input data a...
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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 basis function, and ...
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Feb 28 2006  

   
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