Information Theory for Gabor Feature Selection for Face Recognition.
LinLin ShenLi BaiPublished in: EURASIP J. Adv. Signal Process. (2006)
Keyphrases
- information theory
- face recognition
- feature selection
- information theoretic
- feature extraction
- mutual information
- fisher classifier
- jensen shannon divergence
- gabor features
- web image annotation
- discriminant analysis
- recognition rate
- face images
- gabor wavelets
- statistical learning
- feature space
- statistical physics
- face detection
- statistical mechanics
- machine learning
- fisher linear discriminant
- conditional entropy
- computer vision
- linear discriminant analysis
- feature set
- gabor filters
- classification accuracy
- sparse representation
- local binary pattern
- face databases
- kullback leibler divergence
- facial expressions
- multi class
- support vector machine
- support vector
- binary patterns
- relative entropy
- shannon entropy
- face representation and recognition
- dimensionality reduction
- image processing
- mdl principle
- feature analysis
- texture features
- model selection
- pattern recognition
- similarity measure