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By the appropriate editing of the reference set and the judicious selection of features, we can obtain optimal classifier which maximizes the classification accuracy while saving computational time and memory resources. In this paper, a new simultaneous reference set editing and feature selection for an optimal classifier is proposed. Genetic algorithm (GA) based simultaneous editing of the reference...
This paper proposes a new pattern classification scheme, combining global and local features. The proposed method uses principal component analysis (PCA) for global property and locality preserving projections (LPP) for local property of the pattern. PCA is known for preserving the most descriptive ones after projection while LPP is known for preserving the neighborhood structure of the data set....
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