Genetic Algorithm-Based Optimization of SVM-Based Pedestrian Classifier
نویسندگان
چکیده
We developed a pedestrian classifier using GFB(Gabor Filter Bank)-based feature extraction and SVM(Support Vector Machine). Because the SVM uses RBF(Radial Basis Function) and is applied for nonseparable data, learning parameters should be optimized. This paper proposes GA(Ganetic Algorithm)-based optimization of SVM learning parameters.
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تاریخ انتشار 2007