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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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Interactive Event Search through Transfer Learning from known classification problems different from the user’s target query to decrease the needed amount of user feedback. We address key issues in integrating RF and TL and demonstrate improved performance on the challenging YouTube Action Dataset.
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Image Classification Using Spatial Pyramid Coding and Visual Word Reweightingng to its semantic purity. Higher weights are given to semantically distinctive visual words, and lower weights to semantically general ones. Experiments on a public dataset demonstrate the effectiveness of the proposed method.
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A Phase Discrepancy Analysis of Object Motione algorithm does not rely on prior training on particular features or categories of an image and can be implemented in 9 lines of MATLAB code..In addition to the algorithm, we provide a new database for moving object detection with 20 video clips, 11 subjects and 4785 bounding boxes to be used as a public benchmark for algorithm evaluation.
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Conference proceedings 2011ds coupled with computational techniques that enhance and improve images,and capturing and analyzing the world‘s geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
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