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- W1610996840 abstract "This paper presents a methodology to implement large Neural Networks based classifiers in low-cost FPGAs. The idea is to divide the large Neural Network into several smaller networks which can easily be implemented in small devices. Then, a Multiple Classifier Ensemble is used to joint the results of each small network and thus provide the output of the system. To validate the proposal a classification experiment of terrain images of satellite has been developed and implemented. Obtained results related the size, velocity and performance of the implemented system confirm the viability of the methodology." @default.
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- W1610996840 date "2015-07-01" @default.
- W1610996840 modified "2023-09-25" @default.
- W1610996840 title "A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers" @default.
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- W1610996840 doi "https://doi.org/10.1109/ijcnn.2015.7280547" @default.
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