Combining Variable Selection with Dimensionality Reduction.
Lior WolfStanley M. BileschiPublished in: CVPR (2) (2005)
Keyphrases
- variable selection
- dimensionality reduction
- high dimensional
- high dimensional data
- dimension reduction
- input variables
- cross validation
- linear models
- low dimensional
- principal component analysis
- model selection
- high dimensional data analysis
- stochastic search
- high dimensionality
- feature selection
- group lasso
- feature extraction
- random projections
- learning algorithm
- singular value decomposition
- linear discriminant analysis
- nearest neighbor
- data points
- ls svm
- ensemble selection
- logistic regression models
- face recognition
- dimensionality reduction methods
- preprocessing step
- logistic regression
- feature space
- sparsity inducing
- pattern recognition
- sparse representation