Prototype optimization for nearest neighbor classifiers using a two-layer perceptron
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2001, Pattern RecognitionCitation Excerpt :Therefore, in this case our reconstruction algorithm is useful. If the recognition algorithm is optimized nearest-neighbor classifier (ONNC) [11,12], the recognition rate is 98.1% without any reconstruction of broken digits, and 99.6% after reconstruction of broken digits. Incorrect reconstruction of the broken digits for the test images is caused by some special new structures not considered in our methods.
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