Feature Extraction Based on Maximum Nearest Subspace Margin Criterion.
Yi ChenZhenzhen LiZhong JinPublished in: Neural Process. Lett. (2013)
Keyphrases
- feature extraction
- principal component analysis
- feature selection
- feature space
- dimensionality reduction
- feature vectors
- image classification
- preprocessing
- image processing
- dimension reduction
- low dimensional
- feature representation
- face recognition
- data sets
- linear discriminant analysis
- maximum number
- high dimensional data
- linear subspace
- frequency domain
- principal components analysis
- texture features
- pattern recognition
- discriminant analysis
- support vector
- pattern classification
- extracted features
- subspace learning
- maximum margin
- image feature extraction
- subspace clustering
- nearest neighbor
- generalization error
- texture analysis
- iris recognition
- euclidean distance
- support vector machine svm
- face images
- wavelet transform
- optimization criterion
- learning algorithm