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SAC
2008
ACM
8 years 2 months ago
Towards automatic feature vector optimization for multimedia applications
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
PAMI
2002
136views more  PAMI 2002»
8 years 3 months ago
Unsupervised Feature Selection Using Feature Similarity
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
AAAI
2010
8 years 4 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu
IJCNN
2006
IEEE
8 years 9 months ago
Semi-supervised feature selection via multiobjective optimization
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...
Julia Handl, Joshua D. Knowles
KDD
2008
ACM
130views Data Mining» more  KDD 2008»
9 years 3 months ago
Unsupervised feature selection for principal components analysis
Christos Boutsidis, Michael W. Mahoney, Petros Dri...
ICML
2007
IEEE
9 years 4 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
CVPR
2005
IEEE
9 years 5 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
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...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
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