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