Bayesian Low-Rank Determinantal Point Processes.
Mike GartrellUlrich PaquetNoam KoenigsteinPublished in: RecSys (2016)
Keyphrases
- point processes
- low rank
- matrix factorization
- convex optimization
- monte carlo
- linear combination
- missing data
- low rank matrix
- hot spots
- matrix completion
- singular value decomposition
- high order
- semi supervised
- high dimensional data
- rank minimization
- matrix decomposition
- bayesian networks
- trace norm
- low rank matrices
- minimization problems
- singular values
- image restoration
- decision support
- image classification
- image processing