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Li, Xiaowei
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DeepBurning: automatic generation of FPGA-based learning accelerators for the neural network family
Wang Y., Xu J., Han Y., Li H., Li X. DAC 2016 (Proceedings of the 53rd Annual Design Automation Conference, Austin, Texas, Jun 5-9, 2016) 1-6, 2016. Type: Proceedings
Technically complex, this paper has numerous acronyms that are commonly used in specialist areas like electronics and engineering. However, the topic of DeepBurning can be summarized as a design automation tool that allows application ...
...
Feb 28 2020
Attention recognition in EEG-based affective learning research using CFS+KNN algorithm
Hu B., Li X., Sun S., Ratcliffe M. IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(1): 38-45, 2018. Type: Article
Probably the core of this paper is the usage of “correlation-based feature selection (CFS) plus a
k
-nearest neighbors (KNN) data mining algorithm.” The authors compare it with some other machine l...
...
Jun 21 2018
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