Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression.

Ming Hou Qibin Zhao Brahim Chaib-draa Andrzej Cichocki

Published 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