Feature Selection By KDDA For SVM-Based MultiView Face Recognition
Seyyed Majid ValiollahzadehAbolghasem SayadiyanMohammad NazariPublished in: CoRR (2008)
Keyphrases
- feature selection
- face recognition
- support vector
- support vector machine
- web image annotation
- feature extraction
- linear discriminant analysis
- mutual information
- text categorization
- face images
- discriminant analysis
- classification accuracy
- recognition rate
- machine learning
- multi view
- recursive feature elimination
- dimensionality reduction
- principal component analysis
- support vector machine svm
- relevance feedback
- multi class
- text classification
- recognition accuracy
- multiple views
- fisher discriminant
- method for feature selection
- feature weighting
- face verification
- feature subset
- facial images
- data sets
- svm classifier
- facial expressions
- computer vision
- face recognition systems
- feature selection algorithms
- classification models
- face detection
- pattern recognition
- feature space
- local binary pattern
- sparse representation
- multi task
- single view
- gene expression data
- selected features
- viewpoint
- unsupervised learning
- discriminative features
- unsupervised feature selection
- active learning
- learning algorithm
- human faces