Quantized Low-Rank Multivariate Regression With Random Dithering.
Junren ChenYueqi WangMichael K. NgPublished in: IEEE Trans. Signal Process. (2023)
Keyphrases
- low rank
- multivariate regression
- regression model
- matrix factorization
- missing data
- linear combination
- convex optimization
- matrix completion
- singular value decomposition
- low rank matrix
- rank minimization
- high order
- linear regression
- matrix decomposition
- trace norm
- semi supervised
- high dimensional data
- low rank matrices
- minimization problems
- model selection
- non rigid structure from motion
- robust principal component analysis
- logistic regression
- pattern recognition
- face recognition
- singular values
- data analysis
- machine learning
- low rank and sparse
- data sets