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118
Voted
PAMI
2010
14 years 11 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
115
Voted
FUIN
2010
14 years 8 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
DAC
2009
ACM
16 years 2 months ago
2009
ACM
93
Voted
ICIP
2002
IEEE
16 years 2 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
91
Voted
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...