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Difference of Gaussians (DoG) scale-space for an image is a significant way to generate features for object detection and classification. While applying DoG scale-space features for object detection/classification, we face two inevitable issues: dealing with high-dimensional data and selecting/weighting of proper scales. The scale selection process is mostly ad-hoc to present. In this paper, we propose...
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