Identifiability of Low-Rank Sparse Component Analysis.
Jérémy E. CohenNicolas GillisPublished in: CoRR (2018)
Keyphrases
- low rank
- convex optimization
- linear combination
- missing data
- matrix factorization
- singular value decomposition
- low rank matrix
- semi supervised
- matrix completion
- kernel matrix
- high dimensional data
- high order
- matrix decomposition
- trace norm
- rank minimization
- low rank matrices
- low rank representation
- singular values
- neural network
- data matrix
- higher order
- small number
- robust principal component analysis
- image restoration
- nearest neighbor
- data sets