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In supervised dimensionality reduction methods for pattern recognition tasks, the information of the class labels is considered through the process of reducing the input dimensionality, to improve the classification accuracy. Using nonlinear mappings for this purpose makes these models more appropriate for nonlinearly distributed data. In this paper, a new nonlinear supervised dimensionality reduction...
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