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Titlebook: Computer Vision - ACCV 2010; 10th Asian Conferenc Ron Kimmel,Reinhard Klette,Akihiro Sugimoto Conference proceedings 2011 Springer Berlin H

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Closed-Form Solutions to Minimal Absolute Pose Problems with Known Vertical Directionwo in one variable and one, respectively two, systems of linear equations and can be efficiently solved in a closed-form. By evaluating our algorithms on synthetic and real data we demonstrate that both our solutions are fast, efficient and numerically stabled.
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Key Rotation for Authenticated Encryption convex problem is achieved by maximizing the second smallest eigen value of the graph Laplacian via semi-definite programming. The enhanced image graph model, after the removal of irrelevant features, is shown to improve the salient object detection performance on a large image data base with annotated ‘ground truth’.
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https://doi.org/10.1007/978-3-319-63715-0f propagation to solve this MRF, leading to a globally optimised integration with accurate local details. Experiments show the advantages and superiority of our MRF-based approach over existing methods.
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Advances in Cryptology – CRYPTO 2017 learning. Experimental results demonstrate that the proposed algorithm can handle sequentially arriving data that batch PLSA learning cannot cope with, and its performance is comparable with that of the batch PLSA learning on visual recognition.
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