Keyphrases
- subspace learning
- feature selection
- feature selection and classification
- dimensionality reduction
- high dimensionality
- principal components
- manifold learning
- data representation
- selected features
- feature extraction
- text categorization
- sparse representation
- low dimensional
- feature space
- sparse coding
- multi class
- principal component analysis
- feature set
- high dimensional data
- support vector
- face recognition
- text classification
- feature ranking
- semi supervised
- high dimensional
- unsupervised learning
- machine learning
- hyperplane
- support vector machine
- classification accuracy
- feature selection algorithms
- learning algorithm
- singular value decomposition
- input space
- data points
- image processing
- maximum margin
- feature subset
- knn
- dimension reduction
- image classification
- neural network