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Probabilistic Appearance Based Navigation
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Explore the use of probabilistic appearance-based navigation methods with different probabilities, priors, and word distribution approximations. Learn about thin junction trees for modeling and testing purposes.
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Probabilistic Appearance Based Navigation
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(a) p = 0.31 (b) p = 0.53 (c) p = 0.30
(a) p = 0.999 (b) p = 0.999 (c) p = 0.999
0.85 0.1 0.04 0.01
0.85 0.1 0.04 0.01
Thin Junction Trees • 1968 – Chow and LiuApproximating discrete probability distributions with dependence trees • 2002 – Bach and JordanThin junction trees
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