Data-Driven Low-Rank Neural Network Compression.
Dimitris PapadimitriouSwayambhoo JainPublished in: CoRR (2021)
Keyphrases
- low rank
- data driven
- neural network
- convex optimization
- linear combination
- matrix factorization
- missing data
- singular value decomposition
- low rank matrix
- rank minimization
- matrix completion
- high dimensional data
- semi supervised
- kernel matrix
- image compression
- low rank matrices
- robust principal component analysis
- trace norm
- matrix decomposition
- high order
- pattern recognition
- minimization problems
- non rigid structure from motion
- singular values
- data sets
- low rank representation
- data mining
- similarity measure
- data points
- high dimensional