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Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields.

, , , and . SIAM J. Imaging Sci., 6 (4): 2484-2520 (2013)

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Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields., , , and . SIAM J. Imaging Sci., 6 (4): 2484-2520 (2013)Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models., , and . ECCV (3), volume 3023 of Lecture Notes in Computer Science, page 145-157. Springer, (2004)On Recursive Estimation in Incomplete Data Models. Statistics, 34 (1): 27--51 (2000)A note on the CLT of the LSS for sample covariance matrix from a spiked population model., , and . J. Multivar. Anal., (2014)Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation., , , and . ICIP, page 1857-1860. IEEE, (2006)Temporal modeling of motion textures with mixed-sates Markov chains., , , and . ICASSP, page 881-884. IEEE, (2008)Rank-Test Similarity Measure Between Video Segments for Local Descriptors., , and . Adaptive Multimedia Retrieval, volume 4398 of Lecture Notes in Computer Science, page 71-81. Springer, (2006)Mixed-State Auto-Models and Motion Texture Modeling., , , and . Journal of Mathematical Imaging and Vision, 25 (3): 387-402 (2006)New criterion of identification in the multilayered perceptron modelling., , and . ESANN, D-Facto public, (1997)Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion., , and . IEEE Trans. Image Processing, 15 (11): 3417-3430 (2006)