Paper
14 February 2015 On improvements of neural network accuracy with fixed number of active neurons
Author Affiliations +
Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944528 (2015) https://doi.org/10.1117/12.2180943
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
Abstract
In this paper an improvement possibility of multilayer perceptron based classifiers with using composite classifier scheme with predictor function was exploited. Recognition of embossed number characters on plastic cards in the image taken by mobile camera was used as a model problem.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Natalia Sokolova, Dmitry P. Nikolaev, and Dmitry Polevoy "On improvements of neural network accuracy with fixed number of active neurons", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944528 (14 February 2015); https://doi.org/10.1117/12.2180943
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KEYWORDS
Neurons

Composites

Neural networks

System on a chip

Cameras

Surface plasmons

Analytical research

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