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Titlebook: Computer Vision, Graphics and Image Processing; 5th Indian Conferenc Prem K. Kalra,Shmuel Peleg Conference proceedings 2006 Springer-Verlag

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The Emergence of EU Defense Research Policy to represent an object class by a set of histograms, each one corresponding to a training exemplar. Classification is then achieved by k-nearest neighbour search over the exemplars..In this paper we introduce two novelties on this approach: (i) we show that new compact . histogram models estimated
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The Emergence of EU Defense Research Policynces. However, for the most part, these edge-based methods operate solely on the geometric shape of edges, treating them equally and ignoring the fact that for certain object classes, the appearance of the object on the “inside” of the edge may provide valuable recognition cues..We show how, for suc
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EU-NATO Cooperation: The Case of Defense R&D described model is capable to deal with rough uncertainty as well as fuzzy uncertainty associated with classification of remotely sensed multi-spectral images. The input vector consists of membership values to linguistic properties while the output vector is defined in terms of rough fuzzy class me
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