ML Anthology

Spatial Reasoning Based on Multivariate Belief Functions

Shiuh-Yung Chen, Wei-Chung Lin, Chin-Tu Chen
CVPR 1992 pp. 624-626
doi:10.1109/CVPR.1992.223125 /cvpr/1992/chen1992cvpr-spatial/

Abstract

The authors propose knowledge representation and evidence propagation schemes based on multivariate belief functions and present a medical image recognition system to demonstrate the effectiveness of their application to spatial reasoning. The proposed system, which is based on the blackboard architecture, can mimic the reasoning process of a human expert in identifying the anatomical structures in a set of correlated images acquired from X-ray CT and PD- and T/sub 2/-weighted MRI. In the blackboard-oriented system, different kinds of evidence provided by various knowledge sources form a hierarchy of evidential space to which the Dempster-Shafer theory is applied. The multivariate belief functions are used to represent domain specific knowledge such as rules or facts.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Chen et al. "Spatial Reasoning Based on Multivariate Belief Functions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223125

Markdown

[Chen et al. "Spatial Reasoning Based on Multivariate Belief Functions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/chen1992cvpr-spatial/) doi:10.1109/CVPR.1992.223125

BibTeX

@inproceedings{chen1992cvpr-spatial,
  title     = {{Spatial Reasoning Based on Multivariate Belief Functions}},
  author    = {Chen, Shiuh-Yung and Lin, Wei-Chung and Chen, Chin-Tu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {624-626},
  doi       = {10.1109/CVPR.1992.223125},
  url       = {https://mlanthology.org/cvpr/1992/chen1992cvpr-spatial/}
}