Multiple Kernel Spectral Regression for Dimensionality Reduction.
Bing LiuShixiong XiaYong ZhouPublished in: J. Appl. Math. (2013)
Keyphrases
- euclidean distance
- dimensionality reduction
- multiple kernel
- kernel learning
- support vector machine
- distance metric learning
- high dimensional
- regression model
- data points
- kernel methods
- support vector regression
- low dimensional
- linear combination
- multiple kernel learning
- high dimensional data
- feature space
- principal component analysis
- nonlinear dimensionality reduction
- feature selection
- pattern recognition
- input space
- feature extraction
- data representation
- metric learning
- high dimensionality
- manifold learning
- gaussian processes
- multiple features
- dimensionality reduction methods
- model selection
- feature vectors
- principal components
- support vector
- kernel matrix
- nearest neighbor
- machine learning