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View-invariant dynamic texture recognition using a bag of dynamical systems.

, , and . CVPR, page 1651-1657. IEEE Computer Society, (2009)

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Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions., , , and . CVPR, page 1932-1939. IEEE Computer Society, (2009)Categorizing Dynamic Textures Using a Bag of Dynamical Systems., , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (2): 342-353 (2013)Dynamic Template Tracking and Recognition., , and . Int. J. Comput. Vis., 105 (1): 19-48 (2013)Fast Approximate Nearest Neighbor Methods for Example-Based Video Search., and . Video Analytics for Business Intelligence, volume 409 of Studies in Computational Intelligence, Springer, (2012)View-invariant dynamic texture recognition using a bag of dynamical systems., , and . CVPR, page 1651-1657. IEEE Computer Society, (2009)Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos., and . ECCV (2), volume 6312 of Lecture Notes in Computer Science, page 735-748. Springer, (2010)Dynamic Template Tracking and Recognition, , and . CoRR, (2012)Berkeley MHAD: A comprehensive Multimodal Human Action Database., , , , and . WACV, page 53-60. IEEE Computer Society, (2013)Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition., , , , and . CVPR Workshops, page 8-13. IEEE Computer Society, (2012)Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition., , , , and . CVPR Workshops, page 471-478. IEEE Computer Society, (2013)