An Approximate Inference Approach to Temporal Optimization for Robotics.
Konrad RawlikDmitry ZarubinMarc ToussaintSethu VijayakumarPublished in: ISRR (2) (2015)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- exact inference
- message passing
- bayesian networks
- loopy belief propagation
- variational methods
- parameter estimation
- gaussian process
- dynamic bayesian networks
- factor graphs
- conditional random fields
- random variables
- expectation propagation
- latent variables
- structured prediction
- computer vision
- stereo matching
- distributed systems
- markov random field
- probabilistic model
- active learning