Keyphrases
- low rank
- singular value decomposition
- kernel matrix
- matrix factorization
- convex optimization
- eigendecomposition
- missing data
- linear combination
- singular values
- low rank matrix
- matrix completion
- semi supervised
- rank minimization
- minimization problems
- high dimensional data
- object detection
- high order
- low rank matrices
- covariance matrix
- data matrix
- small number
- trace norm
- matrix decomposition
- machine learning
- neural network
- higher order
- least squares
- feature extraction
- computer vision
- dimensionality reduction
- collaborative filtering
- non rigid structure from motion
- low rank representation