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Learning Sensor Network Topology through Monte Carlo Expectation Maximization., , and . ICRA, page 4581-4587. IEEE, (2005)Optical Flow Estimation., and . Handbook of Mathematical Models in Computer Vision, Springer, (2006)Phase-based disparity measurement., , and . CVGIP Image Underst., 53 (2): 198-210 (1991)Shared Kernel Information Embedding for Discriminative Inference., , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (4): 778-790 (2012)Error-in-variables likelihood functions for motion estimation., and . ICIP (3), page 77-80. IEEE, (2003)High Mutual Information in Representation Learning with Symmetric Variational Inference., , and . CoRR, (2019)Robustly Estimating Changes in Image Appearance., , and . Comput. Vis. Image Underst., 78 (1): 8-31 (2000)Scale-Space Singularities., and . ECCV, volume 427 of Lecture Notes in Computer Science, page 50-55. Springer, (1990)A Layered Motion Representation with Occlusion and Compact Spatial Support., , and . ECCV (1), volume 2350 of Lecture Notes in Computer Science, page 692-706. Springer, (2002)Gaussian Process Dynamical Models for Human Motion., , and . IEEE Trans. Pattern Anal. Mach. Intell., 30 (2): 283-298 (2008)