7623 search results - page 203 / 1525 » Algorithmic Features of Eclat |
149
Voted
CVPR
2003
IEEE
16 years 7 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
139
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CVPR
2003
IEEE
16 years 7 months ago
2003
IEEE
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local m...
171
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CVPR
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
133
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ICPR
2008
IEEE
16 years 6 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
143
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ACIVS
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...