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机译:图像检索的特征包模型的特征集成分析
Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China;
Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China;
School of Medicine, Boston University, Boston, USA;
Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China;
Bag-of-features (BoF); Image retrieval; Weighted K-means; SIFT-LBP; HOG-LBP; Histogram intersection;
机译:使用突出的对象检测使用比例不变功能转换模型袋的图像检索
机译:基于小波和特征包的医学图像多特征融合方法
机译:学习神经特征袋以进行大规模图像检索
机译:基于特征包的医学图像检索对多个视觉单词分配建模
机译:通过空间模型和信息集成进行图像分析和检索。
机译:组织病理学图像分类的袋袋特征方法中规模和旋转不变性分析
机译:使用Bag-of-Feature模型探索用于图像检索的潜在类信息*