Distributed Belief Revision for Adaptive Image Processing Regulation
Abstract
A theoretical approach to the problem of intelligent regulation of data-processing parameters is proposed in terms of joint probability maximization. It is shown that, under suitable hypotheses, the problem can be solved by maximizing, in a distributed way, the product of computationally more tractable conditional probabilities. As a case study, the implementation of an architecture made up of four units is investigated.
Cite
Text
Murino et al. "Distributed Belief Revision for Adaptive Image Processing Regulation." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_11Markdown
[Murino et al. "Distributed Belief Revision for Adaptive Image Processing Regulation." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/murino1992eccv-distributed/) doi:10.1007/3-540-55426-2_11BibTeX
@inproceedings{murino1992eccv-distributed,
title = {{Distributed Belief Revision for Adaptive Image Processing Regulation}},
author = {Murino, Vittorio and Peri, Massimiliano F. and Regazzoni, Carlo S.},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {87-91},
doi = {10.1007/3-540-55426-2_11},
url = {https://mlanthology.org/eccv/1992/murino1992eccv-distributed/}
}