Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression.
Ming HouQibin ZhaoBrahim Chaib-draaAndrzej CichockiPublished in: AAAI (2016)
Keyphrases
- partial least squares regression
- discriminative subspace
- dimensionality reduction
- subspace learning
- kernel pca
- linear dimensionality reduction
- semi supervised
- high dimensional data
- pattern recognition
- neural network
- high dimensional
- data representation
- kernel methods
- low dimensional
- principal component analysis
- feature space
- high order
- feature selection
- unsupervised learning
- support vector
- manifold learning
- data points
- feature extraction
- higher order
- euclidean distance
- support vector machine
- singular value decomposition
- linear discriminant analysis
- diffusion tensor
- face recognition
- data sets
- dimension reduction
- pairwise
- data analysis
- data mining