Exploiting Markov Random Fields to Enhance Retrieval in Case-Based Reasoning.
Luigi PortinalePublished in: FLAIRS Conference (2019)
Keyphrases
- markov random field
- case based reasoning
- case retrieval
- cbr systems
- case library
- higher order
- graph cuts
- belief propagation
- random fields
- maximum a posteriori
- pairwise
- image restoration
- mrf model
- energy minimization
- energy function
- parameter estimation
- potential functions
- image segmentation
- low level vision
- information retrieval
- map estimation
- markov networks
- case base
- efficient inference
- iterative conditional
- message passing
- image retrieval
- potts model
- textured images
- piecewise constant functions
- mrf models
- scene labeling
- discriminative random fields
- loopy belief propagation
- partition function
- conditional random fields
- map inference