SAC
2008
ACM
13 years 3 months ago
2008
ACM
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
PAMI
2002
13 years 3 months ago
2002
AAAI
2010
13 years 5 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
CVPR
2005
IEEE
14 years 6 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...