An Efficient Hyperdimensional Computing Paradigm for Face Recognition

An Efficient Hyperdimensional Computing Paradigm for Face Recognition

In this paper, a combined framework is proposed that includes Hyperdimensional (HD) computing, neural networks, and k-means clustering to fulfill a computationally simple incremental learning framework in a facial recognition system. The main advantages of HD computing algorithms are the simple comp...

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Bibliographic Details
Main Authors: Mohammad Yasser, Khaled F. Hussain, Samia Abd El-Fattah Ali
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Computer vision
facial recognition
HD computing
incremental learning
Online Access:https://ieeexplore.ieee.org/document/9852457/

Internet

https://ieeexplore.ieee.org/document/9852457/

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