Adaptive Low-Rank Gradient Descent.
Ali JadbabaieAnuran MakurAmirhossein ReisizadehPublished in: CDC (2023)
Keyphrases
- low rank
- linear combination
- missing data
- low rank matrix
- matrix factorization
- convex optimization
- matrix completion
- rank minimization
- singular value decomposition
- high dimensional data
- semi supervised
- kernel matrix
- high order
- low rank matrices
- matrix decomposition
- non rigid structure from motion
- minimization problems
- robust principal component analysis
- objective function
- affinity matrix
- loss function
- dimensionality reduction
- low rank approximation
- singular values
- trace norm
- low dimensional
- learning process
- image sequences