Pattern Synthesis for Nonparametric Pattern Recognition

Abstract

Parametric methods first choose the form of the model or hypotheses and estimates the necessary parameters from the given dataset. The form, which is chosen, based on experience or domain knowledge, often, need not be the same thing as that which actually exists (Duda, Hart & Stork, 2000). Further, apart from being highly error-prone, this type of methods… (More)

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Cite this paper

@inproceedings{Viswanath2009PatternSF, title={Pattern Synthesis for Nonparametric Pattern Recognition}, author={P. Viswanath and M. Narasimha Murty and Shalabh Bhatnagar}, booktitle={Encyclopedia of Data Warehousing and Mining}, year={2009} }