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2004
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A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition

9 years 6 months ago
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition
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. In this paper 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.
M. Narasimha Murty, P. Viswanath, Shalabh Bhatnaga
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors M. Narasimha Murty, P. Viswanath, Shalabh Bhatnagar
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