Sparsity in unions of subspaces for classification and clustering of high-dimensional data.
Ehsan ElhamifarRené VidalPublished in: Allerton (2011)
Keyphrases
- high dimensional
- feature space
- classification accuracy
- support vector
- class labels
- machine learning
- classification systems
- benchmark datasets
- model selection
- image classification
- feature vectors
- pattern recognition
- classification scheme
- support vector machine svm
- classification process
- classification models
- pattern classification
- classification method
- cross validation
- support vector machine
- decision rules
- low dimensional
- feature set
- high dimensional feature spaces