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- W2153675511 abstract "This paper introduces a new concept of designing a discriminant analysis method (discriminator), which starts from a local mean based nearest neighbor (LM-NN) classifier and uses its decision rule to direct the design of a discriminator. The derived discriminator, called local mean based nearest neighbor discriminator (LM-NND), matches the LM-NN classifier optimally in theory. The proposed LM-NND method is evaluated using the CENPARMI handwritten numeral database, the ETH80 object category database and the PolyU Palmprint database. The experimental results demonstrate the effectiveness of LM-NND and the LM-NN classifier based pattern recognition system." @default.
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- W2153675511 date "2008-10-01" @default.
- W2153675511 modified "2023-09-22" @default.
- W2153675511 title "New Concept for Discriminator Design: From Classifier to Discriminator" @default.
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- W2153675511 doi "https://doi.org/10.1109/ccpr.2008.13" @default.
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