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Description: 一个学习自然场景类别的贝叶斯模型、基于“词袋”模型的目标分类。来源于Feifei Li的论文。是近年来的目标识别模型热点之一。-”A Bayesian Hierarchical Model for Learning Natural Scene Categories“ FeiFei Li.CVPR2005
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Size: 918528 |
Author: 张子墨 |
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Description: 该论文在知网上付费下载，为2011年9月最新的关于Bag of Wo rds 算法的框架和基本内容，是学习bag of words算法的很好的入门参考。Bag of Words 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。-Bag of Word algo rithm is an efficient object r eco gnition alg or ithm based o n semantic features ex traction and
ex pression. It learns the v irt ues o f the text based sear ch alg or ithm to make imag es a r ang o f v isua l w o rds, ex tract the seman
t ic char acter s and carr y out the detectio n and recog nit ion o f inter est ing objects. This paper mainly discusses the frame and
basic content of Bag of Wor ds algo rithm.
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Size: 310272 |
Author: Jessicaying |
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