Lagrangian Multiplier Optimization Using Markov Chain Based Rate and Piecewise Approximated Distortion Models.
Zhenyu LiuDongsheng WangJunwei ZhouTakeshi IkenagaPublished in: DCC (2012)
Keyphrases
- markov chain
- transition probabilities
- monte carlo simulation
- stochastic process
- steady state
- markov model
- transition matrix
- markov models
- stationary distribution
- finite state
- random walk
- markov process
- monte carlo
- markov chain monte carlo
- state space
- monte carlo method
- maximum entropy
- image segmentation
- sufficient conditions
- gibbs sampler
- probabilistic model