Sparsest Matrix based Random Projection for Classification.
Weizhi LuWeiyu LiKidiyo KpalmaJoseph RonsinPublished in: CoRR (2013)
Keyphrases
- random projections
- projection matrix
- dimension reduction
- pattern recognition
- feature extraction
- dimensionality reduction
- decision trees
- support vector
- text classification
- lossy image compression
- random sampling
- document clustering
- singular value decomposition
- image reconstruction
- sparse representation
- image classification
- feature vectors
- preprocessing
- unsupervised learning
- model selection
- class labels
- low dimensional
- high dimensionality
- principal component analysis
- supervised learning
- motion estimation
- hash functions
- neural network