✦ LIBER ✦

Parameter estimation in Markov random field contextual models using geometric models of objects

✍ Scribed by Nadabar, S.G.; Jain, A.K.

Book ID: 117873227
Publisher: IEEE
Year: 1996
Tongue: English
Weight: 563 KB
Volume: 18
Category: Article
ISSN: 0162-8828
DOI: 10.1109/34.485560

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Recognition of 3-D objects based on Mark

Recognition of 3-D objects based on Markov random field models

✍ Ying Huang; Xiao-qing Ding; Sheng-jin Wang 📂 Article 📅 2006 🏛 SP Higher Education Press 🌐 English ⚖ 469 KB

Parameter estimation of hidden periodic

Parameter estimation of hidden periodic model in random fields

✍ He Shuyuan 📂 Article 📅 1999 🏛 SP Science China Press 🌐 English ⚖ 426 KB

Parameter estimation and restoration of

Parameter estimation and restoration of noisy images using Gibbs distributions in hidden Markov models

✍ Yunxin Zhao; Xinhua Zhuang; Les Atlas; Lars Anderson 📂 Article 📅 1992 🏛 Elsevier Science ⚖ 969 KB

Estimation of Markov random field prior

Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood

✍ Descombes, X.; Morris, R.D.; Zerubia, J.; Berthod, M. 📂 Article 📅 1999 🏛 IEEE 🌐 English ⚖ 574 KB

Analysis of particulate matter air pollu

Analysis of particulate matter air pollution using Markov random field models of spatial dependence

✍ Mark S. Kaiser; Michael J. Daniels; Kyoji Furakawa; Philip Dixon 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 124 KB

## Abstract Researchers are beginning to realize the need to take spatial structure into account when modeling data on air pollutants. We develop several models for particulate matter in an urban region that allow spatial dependence to be represented in different manners over a time period of one y

Recursive-in-order least-squares paramet

Recursive-in-order least-squares parameter estimation algorithm for 2-D noncausal Gaussian Markov random field model

✍ C. R. Zou; E. I. Plotkin; M. N. S. Swamy; Z. Y. He 📂 Article 📅 1995 🏛 Springer 🌐 English ⚖ 845 KB