Multiple Instance Learning by Discriminative Training of Markov Networks.
Hossein HajimirsadeghiJinling LiGreg MoriMohammad ZakiTarek SayedPublished in: UAI (2013)
Keyphrases
- multiple instance learning
- markov networks
- posterior probability
- maximum likelihood
- graphical models
- first order logic
- maximum margin
- belief propagation
- multi class
- bayesian networks
- supervised learning
- probabilistic model
- bayesian inference
- hidden variables
- markov random field
- image annotation
- conditional probabilities
- probability distribution
- semi supervised
- bayesian framework
- conditional random fields
- semi supervised learning
- generative model
- support vector machine
- class labels
- probability density function
- inductive logic programming
- object detection
- prior knowledge
- random variables
- latent variables
- expectation maximization
- hidden markov models
- data sets