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In this paper, we present a new method to improve the performance of current bag-of-word based image classification process. After feature extraction, we introduce a pairwise image matching scheme to select the discriminative features. Only the labeled information from the training-sets is used to update the feature weights via an iterative matching processing. The selected features correspond to...
In this paper, we present a new method to improve the performance of current bag-of-word based image classification process. After feature extraction, we introduce a pair wise image matching scheme to select the discriminative features. Only the label information from the raining-sets is used to update the feature weights via an iterative matching processing. The selected features correspond to the...
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