Aug 20, 2019 · In this paper, we present a machine learning classifier which is used for pedestrian detection based on XGBoost.

Dec 9, 2024 · In this paper, we present a machine learning classifier which is used for pedestrian detection based on XGBoost. Our approach, the Genetic ...

Apr 3, 2024 · Xiong, “A pedestrian detection method based on genetic algorithm for optimize XGBoost training parameters,” IEEE Access, vol. 7, pp. 118310 ...

In this study, we propose a flowchart algorithm to investigate the impact of GA parameters on the accuracy of XGBoost models over the hyperparameter grid for ...

A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters. Article. Full-text available. Aug 2019. Yu Jiang · Guoxiang ...

This study proposes a pedestrian detection algorithm for intelligent vehicles in complex scenarios. YOLOv3 is one of the deep learning-based object detection ...

Oct 12, 2024 · Xiong, "A Pedestrian Detection. Method Based on Genetic Algorithm for Optimize XGBoost Training. Parameters," IEEE Access, vol. 7, pp. 118310 ...

Jan 11, 2020 · This work proposes a hybrid metaheuristic approach (HMA) for pedestrian detection by combining support vector machine (SVM) and genetic ...

This paper proposes a PA modeling method based on CS-GA-XGBoost. The cuckoo search (CS)-genetic algorithm (GA) integrates GA's crossover operator into CS.

A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters · Yu JiangGuoxiang TongHenan YinN. Xiong. Computer Science.