Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation.
Jean BarbierNicolas MacrisMohamad DiaFlorent KrzakalaPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- message passing
- mutual information
- inference in graphical models
- generalized belief propagation
- belief propagation
- information theoretic
- distributed systems
- image registration
- shared memory
- approximate inference
- feature selection
- probabilistic inference
- junction tree
- distributed shared memory
- sum product
- markov random field
- matrix multiplication
- factor graphs
- sum product algorithm
- graphical models
- three dimensional
- graph cuts
- ldpc codes
- parameter estimation
- similarity measure
- high quality
- loopy belief propagation
- object recognition
- high resolution
- optimal solution
- energy function
- model selection