MutualBoost learning for selecting Gabor features for face recognition

Keyphrases

• Face Recognition 100%
• Gabor Features 100%
• Feature-based 16%
• AdaBoost Algorithm 16%
• Feature Dimension 16%
• Classification Accuracy 16%
• High Classification Accuracy 16%
• Mutual Information 16%
• Face Verification 16%
• Class Separability 16%
• Computation Cost 16%
• Feature Select 16%
• Face Image 16%
• Gabor 16%
• Face Recognition System 16%
• FERET Database 16%
• FERET 16%
• Verification Competition 16%
• Memory Cost 16%
• Reduced Features 16%
• Evaluation Protocol 16%
• Boosting Algorithm 16%
• Feature Computation 16%
• Feature Memory 16%
• Generalized Discriminant Analysis 16%
• Eliminate Redundancy 16%

Computer Science

• Face Recognition 100%
• Gabor feature 100%
• Classification Accuracy 33%
• Recognition System 16%
• Adaboost Algorithm 16%
• Feature Dimension 16%
• Mutual Information 16%
• Face Verification 16%
• Computation Cost 16%
• Boosting Algorithms 16%
• Generalized Discriminant Analysis 16%

Engineering

• Classification Accuracy 100%
• Adaboost 50%
• Mutual Information 50%
• Face Image 50%
• Class Separability 50%