Approximate rank-detecting factorization of low-rank tensors.
Franz J. KirályAndreas ZiehePublished in: ICASSP (2013)
Keyphrases
- low rank
- high order
- frobenius norm
- matrix factorization
- nuclear norm
- singular values
- linear combination
- singular value decomposition
- missing data
- convex optimization
- low rank approximation
- low rank matrix
- matrix completion
- rank minimization
- high dimensional data
- non rigid structure from motion
- semi supervised
- matrix decomposition
- higher order
- minimization problems
- kernel matrix
- low rank matrices
- rank constraint
- tensor factorization
- factorization methods
- trace norm
- robust principal component analysis
- collaborative filtering
- learning algorithm
- factorization method
- natural images
- markov random field
- pairwise