On Sparsity by NUV-EM, Gaussian Message Passing, and Kalman Smoothing.
Hans-Andrea LoeligerLukas BrudererHampus MalmbergFederico WadehnNour ZalmaiPublished in: CoRR (2016)
Keyphrases
- message passing
- maximum likelihood
- belief propagation
- expectation maximization
- gaussian mixture model
- distributed systems
- gaussian distribution
- probabilistic inference
- factor graphs
- inference in graphical models
- linear quadratic
- shared memory
- markov random field
- distributed shared memory
- em algorithm
- graphical models
- approximate inference
- parameter estimation
- kalman filter
- mixture model
- probabilistic model
- generative model
- k means
- gaussian model
- bayesian framework
- maximum a posteriori
- matrix multiplication
- computer vision
- reinforcement learning
- bayesian networks
- ldpc codes
- high quality
- max product
- sum product algorithm