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Recent studies have shown that K-means, with larger K, can effectively learn local image patch features; accompanied with appropriate pooling strategies, it performs very well in many visual object recognition tasks. An improved K-means cluster algorithm, GEV-Kmeans, based on the Generalized Extreme Value (GEV) distribution, is proposed in this paper. Our key observation is that the squared distance...
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