Approximate Bayesian computation, stochastic algorithms and non-local means for complex noise models.
Charles KervrannPhilippe RoudotFrançois WahartePublished in: ICIP (2014)
Keyphrases
- complex systems
- noise reduction
- learning algorithm
- learning models
- computationally expensive
- data structure
- mathematical models
- noisy data
- computational cost
- machine learning algorithms
- computationally efficient
- computational complexity
- bayesian methods
- markov chain monte carlo
- linear algebra
- monte carlo sampling
- worst case
- denoising
- bayesian inference
- computationally intensive
- random noise
- exact and approximate
- exact computation