Operator SVD with Neural Networks via Nested Low-Rank Approximation.
Jongha Jon RyuXiangxiang XuH. S. Melihcan ErolYuheng BuLizhong ZhengGregory W. WornellPublished in: CoRR (2024)
Keyphrases
- low rank approximation
- singular value decomposition
- neural network
- low rank matrix approximation
- low rank
- subspace learning
- kernel matrix
- spectral clustering
- singular values
- pattern recognition
- latent semantic indexing
- reconstruction error
- iterative algorithms
- nonnegative matrix factorization
- adjacency matrix
- dimensionality reduction
- least squares
- artificial neural networks
- feature selection
- principal component analysis
- data dependent
- dimension reduction
- missing data
- low dimensional