Matrix Recovery using Deep Generative Priors with Low-Rank Deviations.
Pengbin YuJianjun WangChen XuPublished in: ICASSP (2023)
Keyphrases
- low rank
- low rank matrix
- matrix decomposition
- matrix factorization
- convex optimization
- matrix completion
- linear combination
- singular value decomposition
- missing data
- rank minimization
- semi supervised
- singular values
- high dimensional data
- generative model
- trace norm
- kernel matrix
- low rank and sparse
- factorization methods
- nonnegative matrix factorization
- nuclear norm
- low rank approximation
- frobenius norm
- data matrix
- high order
- minimization problems
- low rank matrices
- robust principal component analysis
- kernel matrices
- unsupervised learning
- recommender systems
- tensor decomposition
- discriminative learning
- least squares
- object detection
- nearest neighbor
- data sets