1.2-mW Online Learning Mixed-Mode Intelligent Inference Engine for Low-Power Real-Time Object Recognition Processor-Reference-Cited by-同舟云学术

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1.2-mW Online Learning Mixed-Mode Intelligent Inference Engine for Low-Power Real-Time Object Recognition Processor

Published:2013-05 Issue:5 Volume:21 Page:921-933
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Oh Jinwook,Lee Seungjin,Yoo Hoi-Jun

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx5/92/6502671/06210400.pdf?arnumber=6210400

Cited by 10 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. Analog Gaussian Function Circuit: Architectures, Operating Principles and Applications;Electronics;2021-10-17

2. A power-efficient and re-configurable analog artificial neural network classifier;Microelectronics Journal;2021-05

3. The Development of Silicon for AI: Different Design Approaches;IEEE Transactions on Circuits and Systems I: Regular Papers;2020-12

4. Low power membership function generator for interval type-2 fuzzy system;Journal of Intelligent & Fuzzy Systems;2019-06-11

5. Deep Neuro-Fuzzy Architectures;Modeling and Optimization in Science and Technologies;2019-04-09

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