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» Feature Selection Based on Mutual Correlation
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ISDA
2009
IEEE
14 years 2 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
ICPR
2004
IEEE
14 years 8 months ago
Evaluation of Tracking Reliability Metrics based on Information Theory and Normalized Correlation
The efficiency of three tracking reliability metrics based on information theory and normalized correlation is examined in this paper. The two information theory tools used for th...
Evangelos Loutas, Nikos Nikolaidis, Ioannis Pitas
FGR
2008
IEEE
188views Biometrics» more  FGR 2008»
14 years 2 months ago
Person-independent face tracking based on dynamic AAM selection
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
Akihiro Kobayashi, Junji Satake, Takatsugu Hirayam...
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
14 years 1 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
14 years 1 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu