Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach.
Qibin ZhaoCesar F. CaiafaDanilo P. MandicLiqing ZhangTonio BallAndreas Schulze-BonhageAndrzej CichockiPublished in: NIPS (2011)
Keyphrases
- tensor decomposition
- data representation
- auxiliary information
- high order
- subspace learning
- regression model
- dimensionality reduction
- low rank
- high dimensional data
- tensor factorization
- low dimensional
- tensor analysis
- model selection
- principal component analysis
- singular value decomposition
- high dimensional
- visual data
- gaussian processes
- support vector
- feature space
- contextual information
- decomposition algorithm
- external knowledge
- data points
- pairwise
- feature extraction
- higher order singular value decomposition