1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation.
Shuai HuangTrac D. TranPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- message passing
- compressive sensing
- inference in graphical models
- markov random field
- approximate inference
- belief propagation
- maximum likelihood
- random projections
- markov chain monte carlo
- least squares
- distributed systems
- model selection
- sparse representation
- probabilistic inference
- signal processing
- em algorithm
- expectation maximization
- graph cuts
- image representation
- pairwise
- energy function
- higher order
- graphical models
- posterior distribution
- dimensionality reduction
- machine learning
- probabilistic model
- image segmentation
- stereo matching
- information extraction
- k means
- parameter learning
- image processing