Variable Selection and Dimension Reduction via Sparse Gradients
Gui-Bo YeXiaohui XiePublished in: CoRR (2010)
Keyphrases
- dimension reduction
- variable selection
- high dimensional
- group lasso
- random projections
- sparse metric learning
- input variables
- feature extraction
- sparsity inducing
- high dimensional data
- principal component analysis
- low dimensional
- linear models
- structured sparsity
- singular value decomposition
- linear discriminant analysis
- dimensionality reduction
- high dimensionality
- feature selection
- high dimensional data analysis
- feature space
- cluster analysis
- unsupervised learning
- ls svm
- preprocessing
- object recognition
- machine learning
- sparse representation
- face recognition
- reinforcement learning
- sparse coding
- data sets