Efficient inference in matrix-variate Gaussian models with \iid observation noise.
Oliver StegleChristoph LippertJoris M. MooijNeil D. LawrenceKarsten M. BorgwardtPublished in: NIPS (2011)
Keyphrases
- efficient inference
- gaussian model
- factor graphs
- probabilistic inference
- exact inference
- approximate inference
- graphical models
- fully connected
- conditional independence
- conditional random fields
- graph structure
- image intensity
- markov random field
- hidden variables
- message passing
- mixture model
- bayesian networks
- gaussian distribution
- structured prediction
- markov networks
- expectation maximization
- information retrieval
- missing data
- skin color
- prior knowledge