Keyphrases
- low rank
- nuclear norm
- singular values
- high order
- low rank matrix
- matrix completion
- missing data
- singular value decomposition
- frobenius norm
- matrix factorization
- linear combination
- low rank matrices
- rank minimization
- trace norm
- convex optimization
- image features
- multiscale
- input image
- image segmentation
- tensor decomposition
- image classification
- semi supervised
- affinity matrix
- image representation
- minimization problems
- high resolution
- kernel matrix
- data matrix
- high dimensional data
- least squares
- higher order
- reconstruction error
- dimensionality reduction
- optical flow