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A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition

Viswanath, P and Murty, Narasimha M and Bhatnagar, Shalabh (2004) A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. In: 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 23-26 August, Cambridge,UK, Vol.4, 416 -419.

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Abstract

Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due to the curse of dimensionality, the training set size should be large. We propose novel techniques to improve the performance of NNC and at the same time to reduce its computational burden. A compact representation of the training set along with an efficient NNC which does implicit pattern synthesis is presented. A comparison of empirical results is made with relevant methods.

Item Type: Conference Paper
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Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 14 Dec 2005
Last Modified: 19 Sep 2010 04:22
URI: http://eprints.iisc.ernet.in/id/eprint/4494

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