Performance evaluation of a FPGA implementation of a digital rotation support vector machine

Horacio Lamela; Jesús Gimeno; Matías Jiménez; Marta Ruiz

doi:10.1117/12.787475

3 April 2008 Performance evaluation of a FPGA implementation of a digital rotation support vector machine

Horacio Lamela, Jesús Gimeno, Matías Jiménez, Marta Ruiz

Proceedings Volume 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI; 697908 (2008) https://doi.org/10.1117/12.787475
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this paper we provide a simple and fast hardware implementation for a Support Vector Machine (SVM). By using the CORDIC algorithm and implementing a 2-based exponential kernel that allows us to simplify operations, we overcome the problems caused by too many internal multiplications found in the classification process, both while applying the Kernel formula and later on multiplying by the weights. We show a simple example of classification with the algorithm and analyze the classification speed and accuracy.

Citation Download Citation

Horacio Lamela, Jesús Gimeno, Matías Jiménez, and Marta Ruiz "Performance evaluation of a FPGA implementation of a digital rotation support vector machine", Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 697908 (3 April 2008); https://doi.org/10.1117/12.787475

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