@article{oai:muroran-it.repo.nii.ac.jp:00008333,
 author = {TANAKA, Kazuyuki and 田中, 和之 and MAEDA,  Junji and 前田, 純治},
 journal = {室蘭工業大学紀要, Memoirs of the Muroran Institute of Technology},
 month = {Nov},
 note = {application/pdf, An image restoration can be often formulated as an energy minimization problem. When an energy function is expressed by using the hamiltonian of a classical spin system only with finite range interactions, the probabilistic model, which is described in the form of Gibbs distribution for the energy function, can be regarded as a Markov random field (MRF) model. Some approximate optimization algorithms for the energy minimization problem were proposed in the standpoint of statistical-mechanics. In this paper, the approximate optimization algorithms are summarized and are applied to the image restoration for natural image., 特集 : 「産業におけるソフトコンピューティングに関する国際会議'99」発表論文選集},
 pages = {9--15},
 title = {Approximate Optimization Algorithms in Markov Random Field Model Based on Statistical-Mechanical Techniques},
 volume = {50},
 year = {2000},
 yomi = {タナカ, カズユキ and マエダ, ジュンジ}
}