Dimensionality Reduction of Volterra Kernels by Tensor Decomposition using Higher-Order SVD.
Urszula LibalJohn S. BarasKarl Henrik JohanssonPublished in: CDC (2020)
Keyphrases
- tensor decomposition
- dimensionality reduction
- higher order
- data representation
- singular value decomposition
- high order
- feature space
- low rank
- tensor factorization
- least squares
- high dimensional
- principal component analysis
- auxiliary information
- low dimensional
- high dimensional data
- kernel function
- tensor analysis
- pattern recognition
- linear combination
- markov random field
- feature selection
- feature extraction
- kernel methods
- natural images
- support vector
- data points
- singular values
- pairwise
- metric learning
- visual data
- linear algebra
- kernel matrix
- latent semantic analysis
- decomposition algorithm
- image classification
- sparse representation