Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods.
Jerónimo Arenas-GarcíaKaare Brandt PetersenGustavo Camps-VallsLars Kai HansenPublished in: CoRR (2013)
Keyphrases
- subspace learning
- maximum margin criterion
- kernel learning
- subspace analysis
- support vector machine
- graph embedding
- kernel function
- kernel methods
- feature space
- kernel matrix
- multiple instance learning
- canonical correlations
- multiple kernel
- multiple kernel learning
- neural network
- dimensionality reduction
- probabilistic model
- support vector
- face recognition
- image processing