Random Projections for Support Vector Machines.
Saurabh PaulChristos BoutsidisMalik Magdon-IsmailPetros DrineasPublished in: AISTATS (2013)
Keyphrases
- random projections
- support vector
- dimensionality reduction
- compressive sensing
- dimension reduction
- random sampling
- compressed sensing
- original data
- principal component analysis
- sparse representation
- image reconstruction
- kernel function
- linear discriminant analysis
- hash functions
- classification accuracy
- feature selection
- low dimensional
- support vector machine
- multiscale
- image processing
- high dimensionality
- unsupervised learning