Multiple Kernel Learning for Spectral Dimensionality Reduction.
Diego Hernán Peluffo-OrdóñezAndrés Eduardo Castro-OspinaJuan Carlos Alvarado-PérezEdgardo Javier Revelo-FuelagánPublished in: CIARP (2015)
Keyphrases
- multiple kernel learning
- kernel learning
- dimensionality reduction
- feature selection
- linear combination
- kernel methods
- multiple kernel
- kernel function
- low dimensional
- high dimensional
- feature space
- semi supervised learning
- high dimensional data
- learning problems
- principal component analysis
- unsupervised learning
- feature extraction
- multiple features
- high dimensionality
- fisher discriminant analysis
- lp norm
- multi task
- input space
- pattern recognition
- principal components
- metric learning
- binary classification
- learning tasks
- support vectors
- semi supervised
- dimensionality reduction methods
- support vector regression
- training set
- support vector
- face recognition