Hoover 发表于 2025-3-21 16:24:29

书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0461409<br><br>        <br><br>书目名称Image Analysis, Random Fields and Markov Chain Monte Carlo Methods读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0461409<br><br>        <br><br>

Cultivate 发表于 2025-3-21 20:55:32

Cleaning Dirty PicturesIn this chapter we will discuss and illustrate the previously introduced concepts. We will pursue the process how expectations and restrictions are translated to and incorporated into Bayesian models.

纤细 发表于 2025-3-22 03:13:21

Finite Random FieldsWe met a variety of distributions on finite products of finite sets of states. They were all strictly positive and only a small number of neighbour sites interacted. These and other common principles will be formalized in the present chapter and illustrated by further examples. It also contains a collection of basic results on random fields.

实现 发表于 2025-3-22 06:11:04

Cooling SchedulesAnnealing with the theoretical cooling schedule may work very slowly. Therefore, in practice faster cooling schedules are adopted. We shall compare the results of such algorithms with exact MAP estimations.

嘲笑 发表于 2025-3-22 11:22:25

Gibbsian Sampling and Annealing RevisitedGibbsian sampling and Gibbsian annealing introduced in Chapter 5 will be generalized in two respects:

Ganglion 发表于 2025-3-22 13:16:12

http://reply.papertrans.cn/47/4615/461409/461409_6.png

誓言 发表于 2025-3-22 19:59:34

Metropolis AlgorithmsThis chapter introduces Metropolis-Hastings type samplers. They generalize the Gibbs sampler and are not dependent upon a product structure of the search space X. Hence they apply in a wide range of applications besides imaging; an important example is combinatorial optimization.

沙文主义 发表于 2025-3-22 23:02:24

http://reply.papertrans.cn/47/4615/461409/461409_8.png

懦夫 发表于 2025-3-23 03:18:47

http://reply.papertrans.cn/47/4615/461409/461409_9.png

DECRY 发表于 2025-3-23 07:04:04

http://reply.papertrans.cn/47/4615/461409/461409_10.png
页: [1] 2 3 4 5 6
查看完整版本: Titlebook: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods; A Mathematical Intro Gerhard Winkler Book 2003Latest edition Springer-V