Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo.
Bao WangDifan ZouQuanquan GuStanley J. OsherPublished in: SIAM J. Sci. Comput. (2021)
Keyphrases
- stochastic gradient
- markov chain monte carlo
- parameter estimation
- markov chain
- posterior distribution
- generative model
- bayesian inference
- monte carlo
- particle filter
- approximate inference
- importance sampling
- posterior probability
- particle filtering
- data association
- graphical models
- simulated annealing
- belief propagation
- visual tracking
- machine learning
- kalman filter
- video sequences
- genetic algorithm