Structure learning in random fields for heart motion abnormality detection.
Mark SchmidtKevin P. MurphyGlenn FungRómer RosalesPublished in: CVPR (2008)
Keyphrases
- random fields
- structure learning
- abnormality detection
- heart motion
- parameter estimation
- graphical models
- conditional random fields
- bayesian networks
- markov random field
- maximum entropy
- non stationary
- markov logic networks
- maximum likelihood
- probabilistic model
- least squares
- em algorithm
- conditional independence
- markov networks
- model selection
- transfer learning
- expectation maximization
- three dimensional
- network structure
- model construction
- fully automatic
- reinforcement learning