文件名称:BagofWords
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- 上传时间:2012-11-16
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Bag of Wo rds 算法是一种有效的基于语义特征提取与表达的物体识别算法, 算法充分学习文本检索算法的优
点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。文章主要研究了Bag
of Wo rds 算法的框架和基本内容。-Bag of Wo in rds algorithm is an effective semantic features extracted and the expression of object recognition algorithm, the algorithm is fully learn the advantages of text retrieval algorithms
Points, pictures, order the collection of a series of visual vocabulary, extract the semantic features of objects to achieve the effective detection and identification of objects of interest. The article is mainly a Bag
framework and basic contents of the Wo in rds algorithm.
点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。文章主要研究了Bag
of Wo rds 算法的框架和基本内容。-Bag of Wo in rds algorithm is an effective semantic features extracted and the expression of object recognition algorithm, the algorithm is fully learn the advantages of text retrieval algorithms
Points, pictures, order the collection of a series of visual vocabulary, extract the semantic features of objects to achieve the effective detection and identification of objects of interest. The article is mainly a Bag
framework and basic contents of the Wo in rds algorithm.
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