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Bounding Performance Loss in Approximate MDP Homomorphisms., , and . NIPS, page 1649-1656. Curran Associates, Inc., (2008)Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose., , , , , and . ICCV, page 3325-3333. IEEE Computer Society, (2015)Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences., , , , , , , , , and 8 other author(s). ACM Trans. Graph., 35 (4): 143 (2016)Diffusion Smoothing on Brain Surface via Finite Element Method., and . ISBI, page 432-435. IEEE, (2004)Clinical Adoption of CAD: Exploration of the Barriers to Translation through an Example Application., and . MIUA, volume 90 of Procedia Computer Science, page 93-98. Elsevier, (2016)Fits Like a Glove: Rapid and Reliable Hand Shape Personalization., , , , , , , and . CVPR, page 5610-5619. IEEE Computer Society, (2016)The Accuracy of 3D Optical Reconstruction and Additive Manufacturing Processes in Reproducing Detailed Subject-Specific Anatomy., , , , and . J. Imaging, 3 (4): 45 (2017)The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU., , , , , , , and . WMT, page 303-309. Association for Computational Linguistics, (2017)TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking., , , , , , , and . 3DV, page 596-605. IEEE Computer Society, (2018)Why Adaptively Collected Data Have Negative Bias and How to Correct for It., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1261-1269. PMLR, (2018)