计算机视觉：场景识别（Scene Recognition）
在这个项目中，我将对15个场景数据库（Bedroom、Coast、Forest、Highway、Industrial、InsideCity、Kitchen、LivingRoom、Mountain、Office、OpenCountry、Store、Street、Suburb、TallBuilding）进行训练和测试，借助HOG特征提取构建词袋模型，并利用集成学习分类器实现场景识别。
最邻近分类器：准确率（55.0%）
随机森林分类器：准确率（69.1%）
直方图梯度提升分类器：准确率（72.1%）
线性支持向量机分类器：准确率（72.7%）
Ours：准确率（74.2%）
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