On identity testing of tensors, low-rank recovery and compressed sensing.
Michael A. ForbesAmir ShpilkaPublished in: STOC (2012)
Keyphrases
- low rank
- compressed sensing
- high order
- image reconstruction
- matrix factorization
- missing data
- convex optimization
- singular value decomposition
- linear combination
- random projections
- sparse representation
- semi supervised
- natural images
- high dimensional data
- signal processing
- higher order
- fourier domain
- signal recovery
- orthogonal matching pursuit
- neural network
- original data
- motion estimation
- recommender systems
- feature vectors
- computer vision