Random Projections for Support Vector Machines
Saurabh PaulChristos BoutsidisMalik Magdon-IsmailPetros DrineasPublished in: CoRR (2012)
Keyphrases
- random projections
- support vector
- dimensionality reduction
- random sampling
- original data
- compressed sensing
- dimension reduction
- sparse representation
- compressive sensing
- hash functions
- image reconstruction
- feature selection
- principal component analysis
- support vector machine
- kernel function
- classification accuracy
- low dimensional
- linear discriminant analysis
- high dimensionality
- feature space
- high dimensional
- text categorization
- document clustering
- active learning
- data analysis
- feature extraction
- data sets