Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference
Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. Although SVM clas...
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| Main Authors: | B. B. Shabarinath, Muralidhar Pullakandam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10969767/ |
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