Multiple Kernel Learning for Dimensionality Reduction.
Yen-Yu LinTyng-Luh LiuChiou-Shann FuhPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2011)
Keyphrases
- multiple kernel learning
- dimensionality reduction
- kernel learning
- feature selection
- linear combination
- kernel methods
- high dimensional
- high dimensional data
- kernel function
- multiple kernel
- feature space
- fisher discriminant analysis
- lp norm
- principal component analysis
- semi supervised learning
- data points
- low dimensional
- feature extraction
- learning problems
- binary classification
- high dimensionality
- pattern recognition
- learning models
- multi task
- support vector
- dimensionality reduction methods
- multi class
- metric learning
- input space
- principal components
- unsupervised learning