Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion.
Jean-Baptiste PothinCédric RichardPublished in: ICASSP (3) (2007)
Keyphrases
- kernel machines
- feature representation
- support vector
- kernel function
- semi supervised
- feature extraction
- multiple kernel learning
- low dimensional
- kernel learning
- kernel methods
- reproducing kernel hilbert space
- face recognition
- learning algorithm
- semi supervised learning
- sparse representation
- learning machines
- learning problems
- model selection
- feature set
- support vector machine
- high dimensional
- pattern recognition
- feature selection
- computer vision