Abstract
A light weight one-shot learning pattern recognition scheme, known as Cellular Microscopic Pattern Recogniser (CMPR) is proposed that will lead to macroscopic event detection with wireless sensor networks (WSN). The scheme simplifies computations for energy conservation and speeds up recognition by leveraging the parallel distributed processing capabilities of WSN. Experimental results show that the scheme is able to detect noisy patterns with comparable accuracy to the conventional techniques.
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