Alignment by maximization of mutual information
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Cites background from "Alignment by maximization of mutual..."
...We have proven that the technique will always converge to a pose estimate that is close to locally optimal (Viola, 1995)....
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...Additional technical details on the relationship between mutual information and other measures of alignment may be found in (Viola, 1995)....
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...Though weighted neighbor likelihood is a powerful technique, it has three significant drawbacks (see (Viola, 1995) for a more detailed discussion)....
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...Our system works in the presence of occlusion because the measure of mutual information used is “robust” to outliers and noise (see (Viola, 1995) for further discussion)....
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...Our system works in the presence of occlusion because the measure of mutual information used is \robust" to outliers and noise (see (Viola, 1995) for further discussion)....
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References
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"Alignment by maximization of mutual..." refers background in this paper
...Nonetheless, most of the credit for de ning entropy and promoting its use in data analysis and engineering falls to Shannon (Shannon, 1948)....
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45,034 citations
"Alignment by maximization of mutual..." refers background in this paper
...This approach is equivalent to minimizing the cross entropy of the estimated distribution with the true distribution (Cover and Thomas, 1991)....
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...Log likelihood and entropy are closely related (see (Cover and Thomas, 1991) for an excellent review of entropy and its relation to statistics)....
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