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bag of feature bag of feature bag of feature-bag of feature bag of feature bag of feature bag of feature
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bag of words 图像识别算法，斯坦福大学李飞飞实验室做的demo-bag of words
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bag-of-words by R. Fergus, L. Fei-Fei and A. Torralba
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SIFT等局部特征的词袋模型实现。包括K-means聚类，直方图特征的形成，以及KNN分类。-SIFT local features such as word bag model implementation. Including K-means clustering to form histogram features, and KNN classification.
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2015年最新国外算法，基于加权视觉词典的人群密度估计-crowd entimatin by a weighted bag of visual word model
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将每一张图的特征点采样聚类成图片的视觉单词 即视觉单词,就是对应图片的代表 创建数据库,将每张图片的视觉单词入库,并建立索引-Will feature a map of each sampling point clustered into visual images of words that is visual words, is to represent the corresponding picture of the is created, the visual image of eac
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