Low-Rank Subspaces in GANs.
Jiapeng ZhuRuili FengYujun ShenDeli ZhaoZheng-Jun ZhaJingren ZhouQifeng ChenPublished in: NeurIPS (2021)
Keyphrases
- low rank
- low rank representation
- high dimensional data
- matrix completion
- missing data
- convex optimization
- linear combination
- singular value decomposition
- matrix factorization
- low rank matrix
- low dimensional
- nearest neighbor
- affinity matrix
- dimensionality reduction
- high dimensional
- rank minimization
- semi supervised
- high order
- kernel matrix
- matrix decomposition
- robust principal component analysis
- singular values
- data sets
- data points
- data analysis
- original data
- subspace clustering
- missing values
- data matrix
- principal component analysis
- trace norm
- pattern recognition
- low rank matrices
- feature selection
- sparse representation
- pairwise
- feature space
- non rigid structure from motion