Sparse Low-Rank Matrix Approximation for Data Compression.
Junhui HouLap-Pui ChauNadia Magnenat-ThalmannYing HePublished in: IEEE Trans. Circuits Syst. Video Technol. (2017)
Keyphrases
- data compression
- low rank matrix approximation
- low rank approximation
- singular value decomposition
- matrix completion
- compression algorithm
- low rank
- compression ratio
- subspace learning
- rank minimization
- spectral clustering
- high dimensional
- kernel matrix
- adjacency matrix
- iterative algorithms
- high order
- latent semantic indexing
- data sets
- nonnegative matrix factorization
- reconstruction error
- computer vision
- sparse coding
- sparse representation
- dimensionality reduction
- least squares