Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  show that a metaheuristic, the variable neighborhood search (VNS), can be effectively used in order to improve the performance of the hardware-friendly version of the support vector machine (SVM). Our target is the implementation of the feed-forward phase of SVM on resource-limited hardware devices, such as field programmable gate arrays (FPGAs) and digital signal processors (DSPs). The proposal has been tested on a machine-vision benchmark dataset for embedded automotive applications, showing considerable performance improvements respect to previously used techniques.
['Enrique Alba', 'Davide Anguita', 'Alessandro Ghio', 'Sandro Ridella']
I am writing a research paper on a idea Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
[{"from": "human", "value": "I am writing a research paper on a idea Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  show that a metaheuristic, the variable neighborhood search (VNS), can be effectively used in order to improve the performance of the hardware-friendly version of the support vector machine (SVM). Our target is the implementation of the feed-forward phase of SVM on resource-limited hardware devices, such as field programmable gate arrays (FPGAs) and digital signal processors (DSPs). The proposal has been tested on a machine-vision benchmark dataset for embedded automotive applications, showing considerable performance improvements respect to previously used techniques."}]