Deep, Dense, and Low-Rank Gaussian Conditional Random Fields.
Siddhartha ChandraIasonas KokkinosPublished in: CoRR (2016)
Keyphrases
- conditional random fields
- low rank
- convex optimization
- missing data
- graphical models
- matrix factorization
- high order
- linear combination
- singular value decomposition
- higher order
- hidden markov models
- markov random field
- semi supervised
- probabilistic model
- generative model
- high dimensional data
- random fields
- structured prediction
- pairwise
- information extraction
- maximum likelihood
- computer vision
- segmentation method
- superpixels
- approximate inference