Uncertainty in Artificial Intelligence
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Evidential Reasoning in a Computer Vision System
Ze-Nian Li, Leonard Uhr
Abstract:
This paper presents an efficient adaptation and application of the Dempster-Shafer theory of evidence, one that can be used effectively in a massively parallel hierarchical system for visual pattern perception. It describes the techniques used, and shows in an extended example how they serve to improve the system's performance as it applies a multiple-level set of processes.
Keywords: Evidential Reasoning, Theory of Evidence
Pages: 403-412
PS Link:
PDF Link: /papers/86/p403-li.pdf
BibTex:
@INPROCEEDINGS{Li86,
AUTHOR = "Ze-Nian Li and Leonard Uhr",
TITLE = "Evidential Reasoning in a Computer Vision System",
BOOKTITLE = "Uncertainty in Artificial Intelligence 2 Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1986",
PAGES = "403--412"
}


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