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A new shape descriptor based on an angular-linear probability distribution.

, , and . ACPR, page 484-488. IEEE, (2015)

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A Bayesian Approach to Model Learning in Non-Markovian Environments., , and . ICML, page 349-357. Morgan Kaufmann, (1997)Hierarchical Hidden Conditional Random Fields for Information Extraction., , , and . LION, volume 6683 of Lecture Notes in Computer Science, page 191-202. Springer, (2011)A Shape Matching Method Considering Computational Feasibility., , , and . SPML, page 115-119. ACM, (2018)Viewing Classifier Systems as Model Free Learning in POMDPs., and . NIPS, page 989-995. The MIT Press, (1998)Extending the Full Procrustes Distance to Anisotropic Scale in Shape Analysis., , and . ACPR, page 634-639. IEEE Computer Society, (2017)Component Reduction for Hierarchical Mixture Model Construction., , and . ICONIP (2), volume 4985 of Lecture Notes in Computer Science, page 326-335. Springer, (2007)Component Reduction for Gaussian Mixture Models., , and . IEICE Trans. Inf. Syst., 91-D (12): 2846-2853 (2008)Learning with Segment Boundaries for Hierarchical HMMs., , and . ICAPR (1), volume 3686 of Lecture Notes in Computer Science, page 538-543. Springer, (2005)Finding the Most Likely Upper Level State Sequence for Hierarchical HMMs., , and . SLSP, volume 7978 of Lecture Notes in Computer Science, page 111-122. Springer, (2013)A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory., and . NIPS, page 1059-1065. The MIT Press, (1998)