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Published in 2018 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2018.2804946
Abstract: Learning vector quantization (LVQ) neural networks have already been successfully applied for image compression and object recognition. In this paper, we propose a modular and reconfigurable pipeline architecture (MRPA) for LVQ. The MRPA consists of…
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Keywords:
vector;
pipeline architecture;
reconfigurable pipeline;
learning vector ... See more keywords