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Titlebook: Computer Vision -- ACCV 2012; 11th Asian Conferenc Kyoung Mu Lee,Yasuyuki Matsushita,Zhanyi Hu Conference proceedings 2013 Springer-Verlag

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Spatially Local Coding for Object Recognitionrate that combining features with multiple levels of spatial locality performs better than using just a single level. Our model performs better than all previous single-feature methods when tested on the Caltech 101 and 256 object recognition datasets.
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Mid-Victorian Investment in Land, use a modified similarity measure to combine the representative DOTs with weight templates. In experiments, the proposed method achieved object detection that was better or at least comparable to that of existing methods while being very fast for both training and testing.
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