Self-supervised debiasing using low rank regularization.
Geon Yeong ParkChanyong JungJong Chul YeSang Wan LeePublished in: CoRR (2022)
Keyphrases
- low rank
- trace norm
- rank minimization
- minimization problems
- kernel matrices
- group sparsity
- linear combination
- convex optimization
- missing data
- low rank matrix
- matrix factorization
- matrix completion
- singular value decomposition
- kernel matrix
- high order
- high dimensional data
- semi supervised
- matrix decomposition
- norm minimization
- robust principal component analysis
- low rank approximation
- low rank matrices
- singular values
- affinity matrix
- stochastic gradient descent
- image segmentation
- data sets
- pairwise
- pattern recognition