Multiple Instance Learning by Discriminative Training of Markov Networks.
Hossein HajimirsadeghiJinling LiGreg MoriMohammad ZakiTarek SayedPublished in: CoRR (2013)
Keyphrases
- multiple instance learning
- markov networks
- posterior probability
- maximum likelihood
- graphical models
- belief propagation
- maximum margin
- first order logic
- multi class
- probabilistic model
- bayesian networks
- bayesian inference
- supervised learning
- semi supervised
- conditional random fields
- image annotation
- conditional probabilities
- markov random field
- hidden variables
- hidden markov models
- semi supervised learning
- data sets
- random variables
- bayesian framework
- em algorithm
- probability distribution
- unsupervised learning
- inductive logic programming
- latent variables
- graph cuts
- language model
- small number
- pairwise
- learning algorithm