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- W2126772221 abstract "In this paper, a new image classification method is developed. This approach applies graph decomposition and probabilistic neural networks (PNN) to the task of supervised image classification. We use relational graphs to represent image. These graphs are constructed from the feature points of images. Spectra of these graphs are obtained as feature vectors for classification. PNN is adopted to classify image according to the feature vectors. Experimental results show that this method can achieve best result of images classification." @default.
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- W2126772221 date "2005-01-01" @default.
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- W2126772221 title "A graph and PNN-based approach to image classification" @default.
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- W2126772221 doi "https://doi.org/10.1109/icmlc.2005.1527846" @default.
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