Modeling and Identification of Low Rank Vector Processes.
Giorgio PicciWenqi CaoAnders LindquistPublished in: CoRR (2020)
Keyphrases
- low rank
- missing data
- convex optimization
- low rank matrix
- linear combination
- matrix factorization
- singular value decomposition
- matrix completion
- kernel matrix
- trace norm
- high dimensional data
- matrix decomposition
- sparse matrix
- semi supervised
- high order
- rank minimization
- non rigid structure from motion
- robust principal component analysis
- feature vectors
- low rank matrices
- data sets
- incomplete data
- nearest neighbor
- small number
- learning process
- data analysis
- low rank representation