Method for Decision-tree Classifier Using Multi-feature of Images 基于影像多种特征的决策树分类方法
We also combine the float-boosting algorithm with support vector machine and assemble some weak classifiers to build a boosted decision-tree support vector machine classifier. This classifier can decrease the error rate of vehicle recognition. 提出将动态Boosting算法与支持向量机相结合,用更优的弱分类器构造强分类器,得到一个增强了的决策支持向量机分类器,该方法能减少分类错误率。
A Decision-Tree Classifier Model of Competition in Choosing Split Attribute 竞争选择分裂属性的决策树分类模型