Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation.
Brandon FranzkeBart KoskoPublished in: DMIN (2010)
Keyphrases
- density estimation
- stochastic resonance
- markov chain monte carlo
- image enhancement
- signal to noise ratio
- generative model
- mixture model
- markov chain
- posterior distribution
- parameter estimation
- posterior probability
- probability density function
- monte carlo
- bayesian inference
- gaussian mixture model
- em algorithm
- outlier detection
- particle filter
- expectation maximization
- noise reduction
- probabilistic model
- machine learning
- edge detection
- denoising
- image processing
- hyperparameters
- approximate inference
- feature selection