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_11

Markdown

[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_11

BibTeX

@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/}
}