Evidential Reasoning in Parallel Hierarchical Vision Programs
Ze-Nian Li, Leonard Uhr
TL;DR
This paper introduces an efficient method for applying Dempster-Shafer evidence theory in a parallel hierarchical vision system, enhancing visual pattern perception performance through multi-level processing.
Contribution
It adapts and demonstrates the effective use of Dempster-Shafer theory in a massively parallel hierarchical visual perception system, improving pattern recognition.
Findings
Enhanced system performance with evidence theory integration
Effective parallel hierarchical processing for visual perception
Demonstrated improvements in pattern recognition accuracy
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.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · Multi-Criteria Decision Making · Bayesian Modeling and Causal Inference