Sparse Covariance Estimates for High Dimensional Classification Using the Cholesky Decomposition.
Asbjørn BergeAnne H. Schistad SolbergPublished in: SSPR/SPR (2006)
Keyphrases
- high dimensional
- high dimensionality
- sparse data
- dimension reduction
- classification accuracy
- pattern recognition
- sparse matrix
- pattern classification
- classification scheme
- image classification
- support vector
- feature vectors
- high dimension
- classification method
- feature space
- support vector machine svm
- training samples
- low dimensional
- support vector machine
- text classification
- svm classifier
- supervised learning
- small sample size
- feature extraction
- sparse coding
- dictionary learning
- variable selection
- model selection
- class labels
- sparse representation
- machine learning
- dimensionality reduction
- nearest neighbor
- multi class
- feature selection