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Action Recognition by Matching Clustered Trajectories of Motion Vectors.

, , , and . VISAPP (1), page 112-117. SciTePress, (2013)

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Matching mixtures of curves for human action recognition., , , and . Computer Vision and Image Understanding, (2014)Accurate image registration for MAP image super-resolution., , and . Sig. Proc.: Image Comm., 28 (5): 494-508 (2013)Action Recognition by Matching Clustered Trajectories of Motion Vectors., , , and . VISAPP (1), page 112-117. SciTePress, (2013)On the improvement of image registration for high accuracy super-resolution., , and . ICASSP, page 981-984. IEEE, (2011)A Review of Human Activity Recognition Methods., , and . Front. Robotics and AI, (2015)Classifying Behavioral Attributes Using Conditional Random Fields., , and . SETN, volume 8445 of Lecture Notes in Computer Science, page 95-104. Springer, (2014)Robust maximum a posteriori image super-resolution., , and . J. Electronic Imaging, 23 (4): 043016 (2014)Active privileged learning of human activities from weakly labeled samples., , and . ICIP, page 3036-3040. IEEE, (2016)Adaptive SVM+: Learning with Privileged Information for Domain Adaptation., , and . ICCV Workshops, page 2637-2644. IEEE Computer Society, (2017)Segmentation of cell clusters in Pap smear images using intensity variation between superpixels., , and . IWSSIP, page 184-187. IEEE, (2015)