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Modeling Parameter Space Behavior of Vision Systems Using Bayesian Networks

✍ Scribed by Sudeep Sarkar; Srikanth Chavali

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 325 KB
Volume: 79
Category: Article
ISSN: 1077-3142
DOI: 10.1006/cviu.2000.0854

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✦ Synopsis

bilities. 6. Utility of the parameter dependence networks. 6.1. Generation of parameter sets. 6.2. Constrained selection of parameters. 6.3. Sensitivity of performance to parameter values. 6.4. Strength of interdependence of parameters. 7. Results. 7.1. The vision subsystems and evaluation measures. 7.2. Constructing the PDN. 7.3. Effectiveness of the PDN. 7.4. What can we infer from the PDN? 8. Conclusions.

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