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Titlebook: Computer Analysis of Images and Patterns; 16th International C George Azzopardi,Nicolai Petkov Conference proceedings 2015 Springer Interna

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,Bett und Zimmer des Säuglings,retrieval (QSCR) and considers visual saliency at both local and global image levels. Each image, from a given database, is segmented and specific features are evaluated locally for each of its regions. The global saliency is evaluated based on edge distribution and orientation. During the retrieval
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https://doi.org/10.1007/978-3-662-36347-8The descriptor is generated in a novel way, by embedding the response of an oriented anisotropic derivative half Gaussian kernel in the Histogram of Orientation Gradient (HoG) framework. By doing so, we are able to bin more curvature information. As a result, our descriptor performs better than the
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Die amphoteren Substanzen. Ampholyte provided by using more than one trait results in a high identification rate. Still, one of the missing parts in a multimodal system is inattention to the discriminability of each rank list for each specific user. This paper introduces a novel approach to select a combination of rank lists in rank l
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Die amphoteren Substanzen. Ampholyteitting problem for each point in its local neighbourhood. This local method allows us to select a region of interest for the optical flow computation. Secondly, we propose a method to compute the transportation of a motion field in long-time image sequences using the Wasserstein distance for cyclic
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