Energy Efficient Sparse Bayesian Learning using Learned Approximate Message Passing.
Christo Kurisummoottil ThomasRakesh MundlamuriChandra R. MurthyMarios KountourisPublished in: SPAWC (2021)
Keyphrases
- energy efficient
- message passing
- sparse bayesian learning
- inference in graphical models
- wireless sensor networks
- belief propagation
- sensor networks
- energy consumption
- distributed systems
- shared memory
- factor graphs
- probabilistic inference
- markov random field
- base station
- energy efficiency
- approximate inference
- graphical models
- routing algorithm
- relevance vector machine
- data transmission
- sensor nodes
- multi view
- stereo matching
- power consumption
- wireless networks