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Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

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978-3-319-16813-5Springer International Publishing Switzerland 2015
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https://doi.org/10.1007/978-1-4939-2904-7ambiguity of actions by learning a classifier score distribution over video subsequences. A classifier based on this score distribution is shown to be more effective than using the maximum or average scores. The second technique learns a classifier for the relative values of action scores, capturing
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The Czech Language in the Digital Aged 3D positions of skeleton joints tracked by depth camera like Kinect sensors open up new possibilities of dealing with recognition task. Current methods mostly build classifiers based on complex features computed from the depth data. As a deep model, convolutional neural networks usually utilize th
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Springer Tracts in Advanced Robotics a template set. Since blur templates of different directions are added to the template set to accommodate motion blur, there is a natural group structure among the templates. In order to enforce the solution of the sparse approximation problem to have group structure, we employ the mixed . norm to
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