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» Optimal feature selection for support vector machines
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JUCS
2007
124views more  JUCS 2007»
13 years 7 months ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang
ICCD
1999
IEEE
88views Hardware» more  ICCD 1999»
14 years 7 days ago
TriMedia CPU64 Application Development Environment
The architecture of the TriMedia CPU64 is based on the TM1000 DSPCPU. The original VLIW architecture has been extended with the concepts of vector processing and superoperations. ...
Evert-Jan D. Pol, Bas Aarts, Jos T. J. van Eijndho...
IJCNN
2006
IEEE
14 years 1 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
ICCV
2007
IEEE
14 years 10 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICDAR
2011
IEEE
12 years 7 months ago
Identification of Indic Scripts on Torn-Documents
—Questioned Document Examination processes often encompass analysis of torn documents. To aid a forensic expert, automatic classification of content type in torn documents might ...
Sukalpa Chanda, Katrin Franke, Umapada Pal