Scalable FPGA Hardware Accelerator for SVM Inference
Author:
Affiliation:
1. IHP – Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany
Funder
Federal Ministry of Education and Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797068/9797069/09797110.pdf?arnumber=9797110
Reference15 articles.
1. FPGA Implementations of SVM Classifiers: A Review
2. Hardware Acceleration of SVM-Based Classifier for Melanoma Images
3. SCoPE: Towards a Systolic Array for SVM Object Detection
4. A sum of absolute differences implementation in FPGA hardware
5. Implementation of systolic array based SVM classifier using multiplierless kernel;bhaswati;Proceedings of the 16th international conference on automatic control modelling and simulation (ACMOS '14),0
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