Viewing the Welch bound inequality from the kernel trick viewpoint.
Liang DaiPublished in: CoRR (2014)
Keyphrases
- kernel trick
- viewpoint
- maximum margin
- dimensionality reduction
- kernel methods
- infinite dimensional
- feature space
- regression algorithm
- input space
- kernel pca
- kernel function
- kernel learning
- sparse coding
- dimensionality reduction methods
- upper bound
- discriminative learning
- linear transformation
- nonlinear models
- multiple kernel learning
- structured output
- high dimensional feature space
- lower bound
- markov networks
- pattern classification
- semi supervised
- multi class
- high dimensional
- structured prediction
- preprocessing step
- hyperplane
- learning problems
- principal component analysis
- pairwise