A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection-Reference-Cited by-同舟云学术

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A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection

Published:2024-06 Issue:6 Volume:73 Page:1559-1574
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Wang Ruixuan¹^ORCID,Moon Sabrina Hassan²^ORCID,Hu Xiaobo Sharon³^ORCID,Jiao Xun¹^ORCID,Reis Dayane²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Villanova University, Villanova, PA, USA

2. Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA

3. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA

Funder

U.S. NSF

ACCESS – AI Chip Center for Emerging Smart Systems, sponsored by InnoHK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/12/10527219/10457041-aam.pdf

Reference45 articles.

1. Outlier Detection in Energy Disaggregation Using Subspace Learning and Gaussian Mixture Model

2. Outlier Detection with Kernel Density Functions

3. Anomaly Detection of User Behavior for Database Security Audit Based on OCSVM

4. Isolation Forest

5. Exploring Inherent Sensor Redundancy for Automotive Anomaly Detection

Cited by 2 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. All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

2. Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

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