Low Complexity Static and Dynamic Sparse Bayesian Learning Combining BP, VB and EP Message Passing.
Christo Kurisummoottil ThomasDirk T. M. SlockPublished in: ACSSC (2019)
Keyphrases
- low complexity
- message passing
- belief propagation
- sparse bayesian learning
- graphical models
- approximate inference
- markov random field
- graph cuts
- stereo matching
- probabilistic inference
- computational complexity
- factor graphs
- motion estimation
- relevance vector machine
- max product
- distributed systems
- markov networks
- loopy belief propagation
- distributed video coding
- pairwise
- energy function
- feature extraction
- higher order
- image retrieval
- probabilistic graphical models
- video sequences
- ldpc codes
- computer vision