1463 search results - page 130 / 293 » Feature selection based on the training set manipulation |
148
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KDD
2000
ACM
15 years 8 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
155
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
174
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SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
124
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CAV
2006
Springer
15 years 8 months ago
2006
Springer
Fast is a tool designed for the analysis of counter systems, i.e. automata extended with unbounded integer variables. Despite the reachability set is not recursive in general, Fast...
153
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JMLR
2006
15 years 4 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...