Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- linear combination
- missing data
- matrix factorization
- singular value decomposition
- matrix completion
- convex optimization
- regression model
- low rank matrix
- matrix decomposition
- kernel matrix
- higher order
- semi supervised
- high dimensional data
- support vector
- low rank matrices
- rank minimization
- pairwise
- minimization problems
- robust principal component analysis
- tensor factorization
- reproducing kernel hilbert space
- low rank approximation
- singular values
- multi task
- dimensionality reduction
- pattern recognition
- data matrix
- loss function
- model selection
- image sequences
- feature selection