Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization.
Mingming LiuWei SunBing LiuPublished in: Knowl. Based Syst. (2015)
Keyphrases
- multiple kernel
- dimensionality reduction
- kernel learning
- support vector regression
- multiple kernel learning
- kernel methods
- support vector machine
- regression model
- feature space
- kernel function
- linear combination
- high dimensional data
- feature selection
- support vector
- high dimensionality
- kernel matrix
- model selection
- multiple features
- principal component analysis
- high dimensional
- data representation
- subspace learning
- feature extraction
- low dimensional
- manifold learning
- pattern recognition
- principal components
- preprocessing step
- objective function
- gaussian processes
- machine learning
- low level features
- feature vectors
- text categorization