Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data.
Vatsal SharanKai Sheng TaiPeter BailisGregory ValiantPublished in: ICML (2019)
Keyphrases
- low rank
- matrix factorization
- linear combination
- missing data
- singular value decomposition
- non rigid structure from motion
- convex optimization
- factorization methods
- sensed data
- low rank matrix
- rank minimization
- matrix completion
- high order
- matrix decomposition
- high dimensional data
- low rank matrices
- semi supervised
- data matrix
- collaborative filtering
- robust principal component analysis
- singular values
- recommender systems
- minimization problems
- trace norm
- factorization method
- nonnegative matrix factorization
- sparse representation
- denoising
- image sequences