A Consensus Structure Inference Algorithm

Abstract

The notion of consensus structure, a special form of random graph, is formally defined. The consensus structure represents an extended higher-order representation of the random n-tuple for statistical and structural pattern recognition. An algorithm inferring the consensus structure from a random n-tuple is designed based on the detection of statistical interdependency under certain structural constraints. In applying structural constraints, a circular diagram indicating variable interaction is used to extract global structural features in a macromolecular modeling problem.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Chiu. "A Consensus Structure Inference Algorithm." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139815

Markdown

[Chiu. "A Consensus Structure Inference Algorithm." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/chiu1991cvpr-consensus/) doi:10.1109/CVPR.1991.139815

BibTeX

@inproceedings{chiu1991cvpr-consensus,
  title     = {{A Consensus Structure Inference Algorithm}},
  author    = {Chiu, David K. Y.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {755-756},
  doi       = {10.1109/CVPR.1991.139815},
  url       = {https://mlanthology.org/cvpr/1991/chiu1991cvpr-consensus/}
}