Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Benoît LelandaisIsabelle GardinLaurent MouchardPierre VeraSu RuanPublished in: Belief Functions (2012)
Keyphrases
- belief functions
- image processing
- dempster shafer
- probability theory
- dempster shafer theory
- probability function
- uncertain reasoning
- imprecise probabilities
- markov tree
- multicriteria decision making
- handling uncertainty
- evidential reasoning
- probabilistic graphical models
- proceedings of the th international conference
- theoretical framework
- artificial intelligence
- neural network