Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks-Reference-Cited by-同舟云学术

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Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks

Published:2021-06-06 Issue: Volume: Page:
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Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Chaudhari Shreyas,Nair Harideep,Moura Jose M. F.,Paul Shen John

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09414882.pdf?arnumber=9414882

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-05

2. Quantifying the Impact of Single-Event Upsets on Neural Networks with Uncertainty Analysis;Journal of Physics: Conference Series;2024-05-01

3. NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors;2024 Neuro Inspired Computational Elements Conference (NICE);2024-04-23

4. TNN-CIM: An In-SRAM CMOS Implementation of TNN-Based Synaptic Arrays with STDP Learning;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

5. Cortical Columns Computing Systems: Microarchitecture Model, Functional Building Blocks, and Design Tools;Neuromorphic Computing;2023-11-15

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