Differentiating-based Vectorization for Sparse Kernels.
Zachary CetinicKazem CheshmiMaryam Mehri DehnaviPublished in: CoRR (2021)
Keyphrases
- multiple kernel
- kernel matrices
- sparse data
- kernel function
- high dimensional
- line segments
- kernel methods
- support vector
- feature space
- linear combination
- additive models
- line drawings
- dictionary learning
- multiple kernel learning
- sparse coding
- sparse representation
- norm regularization
- convex optimization
- compressive sensing
- canonical correlation analysis
- compressed sensing
- positive definite
- gaussian kernels
- positive semi definite
- feature extraction