Low-Rank Subspaces in GANs.
Jiapeng ZhuRuili FengYujun ShenDeli ZhaoZhengjun ZhaJingren ZhouQifeng ChenPublished in: CoRR (2021)
Keyphrases
- low rank
- low rank representation
- high dimensional data
- convex optimization
- missing data
- matrix factorization
- linear combination
- low rank matrix
- kernel matrix
- singular value decomposition
- rank minimization
- low dimensional
- matrix completion
- matrix decomposition
- high dimensional
- affinity matrix
- high order
- nearest neighbor
- dimensionality reduction
- data sets
- semi supervised
- original data
- subspace clustering
- linear subspace
- minimization problems
- trace norm
- data points
- data analysis
- data matrix
- principal component analysis
- robust principal component analysis
- total variation
- singular values
- optical flow
- pattern recognition
- data mining