Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification.
Wenzhu YanQuansen SunHuaijiang SunYanmeng LiZhenwen RenPublished in: Neurocomputing (2019)
Keyphrases
- linear regression
- multiple kernel
- dimensionality reduction
- kernel learning
- least squares
- kernel methods
- multiple kernel learning
- metric learning
- support vector machine
- linear combination
- high dimensional
- high dimensional data
- principal component analysis
- multiple features
- pattern recognition
- kernel function
- feature selection
- low dimensional
- feature space
- feature extraction
- data representation
- manifold learning
- principal components
- support vector regression
- linear discriminant analysis
- semi supervised
- kernel matrix
- subspace learning
- pairwise constraints
- euclidean distance
- input space
- data points
- face recognition