Vector Approximate message Passing with Arbitrary I.I.D. Noise Priors.
Mohamed AkroutTiancheng GaoFaouzi BelliliAmine MezghaniPublished in: ICASSP (2024)
Keyphrases
- message passing
- inference in graphical models
- belief propagation
- distributed systems
- shared memory
- junction tree
- probabilistic inference
- sum product algorithm
- noise level
- distributed shared memory
- markov random field
- factor graphs
- approximate inference
- signal to noise ratio
- computer vision
- graphical models
- singly connected
- matrix multiplication
- dual decomposition
- generalized belief propagation
- sum product
- post processing
- noise model
- graph cuts
- ldpc codes
- k means
- multiscale
- image sequences