Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks.
Robert GwaderaJanne ToivolaJaakko HollménPublished in: ICDM Workshops (2007)
Keyphrases
- multi attribute
- dynamic bayesian networks
- utility function
- bayesian networks
- utility theory
- approximate inference
- particle filtering
- multi attribute decision making
- state variables
- hidden markov models
- structure learning
- attribute values
- multi dimensional
- image segmentation
- belief state
- probabilistic inference
- data sets
- latent variables
- similarity search
- computer vision