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» Stability of Feature Selection Algorithms
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ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
IJON
2008
121views more  IJON 2008»
13 years 8 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
ICPR
2006
IEEE
14 years 9 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
SGAI
2009
Springer
14 years 1 months ago
Remainder Subset Awareness for Feature Subset Selection
Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The fa...
Gabriel Prat-Masramon, Lluís A. Belanche Mu...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman