Reasoning about Noisy Sensors in the Situation Calculus
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
The theory of Latin Square experimental designs is extended to edge detection of multi-grey level pictorial data. Latin Square designs are realized using mask operations either as a square or in linear forms using ANOVA to estimate the model parameters. The test statistics are based upon the robust F-test and the thresholds are selected by an empirical interactive process. A post hoc comparison method is used to confine the edge element ambiguities to 2-pixel layer thickness in masks greater than 2 × 2 × k. Computer simulations are shown to verify the theory. © 1979.
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
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ICDH 2024
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Transactions of the Japanese Society for Artificial Intelligence
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