An algorithm based on SVM ensembles for motorcycle recognition

Xuezhi Wen, Huai Yuan, Chunyan Song, Wei Liu, Hong Zhao
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引用次数: 15

Abstract

A motorcycle detection algorithm is proposed to solve imbalanced datasets in motorcycle recognition based on SVM ensembles. Moreover, an improved Wavelet feature algorithm is also presented. Experimental results show that the presented method has high precision and recall. Furthermore, the system performance can also be improved by increasing learning.
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基于SVM集合的摩托车识别算法
针对摩托车识别中的不平衡数据集问题,提出了一种基于支持向量机集合的摩托车检测算法。此外,还提出了一种改进的小波特征算法。实验结果表明,该方法具有较高的查全率和查准率。此外,还可以通过增加学习来提高系统的性能。
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