Variational Bayesian inference for binary image restoration using Ising model

IF 0.5 Q4 STATISTICS & PROBABILITY Communications for Statistical Applications and Methods Pub Date : 2022-01-31 DOI:10.29220/csam.2022.29.1.707
Moon-Yeop Jang, Younshik Chung
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基于Ising模型的二值图像恢复的变分贝叶斯推理
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期刊介绍: Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
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