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Updated: Aug 1, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
Published on: January 5, 2024
A Low-Power Analog Integrated Implementation of the Support Vector Machine Algorithm with On-Chip Learning Tested on
Vassilis Alimisis1, Georgios Gennis1, Marios Gourdouparis1
1Department of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
This study presents an autonomous, on-chip learning hardware-friendly support vector machine (SVM) classifier. Achieving high accuracy with ultra-low power consumption (72 μW) using subthreshold techniques.
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2026-06-19T13:40:05.646482+00:00
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