Bounds on the Spectral Norm and the Nuclear Norm of a Tensor Based on Tensor Partitions.
Zhening LiPublished in: SIAM J. Matrix Anal. Appl. (2016)
Keyphrases
- nuclear norm
- low rank
- high order
- norm minimization
- trace norm
- low rank matrices
- low rank matrix
- frobenius norm
- matrix completion
- convex optimization
- higher order
- rank minimization
- structure tensor
- tensor decomposition
- minimization problems
- lower bound
- kernel matrix
- semi supervised
- linear combination
- worst case
- unsupervised feature selection
- sparse representation
- matrix factorization
- data matrix
- approximation methods
- sparse coding
- singular value decomposition
- anisotropic diffusion
- nearest neighbor
- markov random field
- missing data
- natural images
- low rank approximation
- singular values
- kullback leibler divergence
- subspace learning
- clustering algorithm