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In this paper, we propose a new saliency-seeded active contour based automatic natural object segmentation method. It is known that using saliency regions or pixels can easily get the approximately location of the desired object in the map. The salient object points are employed as the seeds of convex hull to generate the initial contour for our automatic object segmentation system. In contrast with...
Dimension reduction (feature extraction) and classification are two elementary tasks in pattern recognition. This paper presents a paradigm of unifying dimension reduction and classification tasks into one framework. We start with a simplest classifier, the nearest (global) mean classifier, and use its decision rule to steer the design of the global mean disciminant analysis (GMDA). GMDA is proven...
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