Hardware Implementation of Support Vector Machine(SVM) on FPGAs
This paper revolves around Hardware Implementation of Support Vector Machine(SVM) on FPGAs. Additionally, it focuses on Hardware architecture for a Support Vector Machine, CORDIC algorithm, hardware-friendly kernel function, and input images.
Instructions
Hardware Implementation of Support Vector Machine(SVM) on FPGAs
In this paper, you have to present
- Hardware architecture for a Support Vector Machine intended for vision applications to be implemented in a FPGA device.
- The contribution of each support vector in parallel without performing multiplications by using a CORDIC algorithm.
- A hardware-friendly kernel function.
- Why input images are not pre-processed for feature extraction.
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