Learning to cluster using high order graphical models with latent variables.
Nikos KomodakisPublished in: ICCV (2011)
Keyphrases
- graphical models
- high order
- latent variables
- probabilistic model
- random variables
- approximate inference
- probabilistic graphical models
- factor graphs
- higher order
- prior knowledge
- latent variable models
- belief propagation
- hidden variables
- multi task learning
- max margin
- markov logic networks
- undirected graphical models
- markov networks
- conditional random fields
- conditional independence
- parameter learning
- structured prediction
- co occurrence
- knowledge representation
- data points