Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?
Author:
Affiliation:
1. Chair of Semiconductor Test and Reliability, University of Stuttgart, Stuttgart, Germany
Funder
Advantest as part of the Graduate School “Intelligent Methods for Test and Reliability” (GS-IMTR) at the University of Stuttgart
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/4563995/10054570/09832659.pdf?arnumber=9832659
Reference10 articles.
1. OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System
2. Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory
3. Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms;xiao;ArXiv 1708 07747,2017
4. Brain-Inspired Computing for Wafer Map Defect Pattern Classification
5. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
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