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Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples

机译：CBIR的相关性反馈：基于概率特征加权的新方法，具有正面和负面的例子

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Mohammed Lamine Kherfi; Djemel Ziou;
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年度 2006
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1. Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples [J] . Kherfi M.L., Ziou D. IEEE Transactions on Image Processing . 2006,第4期

机译：CBIR的相关性反馈：一种基于概率特征加权并带有正负示例的新方法
2. Independent query refinement and feature re-weighting using positive and negative examples for content-based image retrieval [J] . Cheng-Chin Chiang, Jyun-Yue Wu, Mau-Tsuen Yang, Multimedia Tools and Applications . 2008,第2期

机译：使用基于内容的图像检索的正例和负例进行独立的查询优化和特征重新加权
3. Combining positive and negative examples in relevance feedback for content-based image retrieval [J] . M.L. Kherfi, D. Ziou, A. Bernardi Journal of visual communication & image representation . 2003,第4期

机译：在相关性反馈中组合正例和负例以进行基于内容的图像检索
4. Relevance Feedback in Image Retrieval: A New Approach using Positive and Negative Examples [C] . M. L. Kherfi, D. Ziou, A. Bernardi Society of Photo-Optical Instrumentation Engineers Conference on Internet Imaging . 2003

机译：图像检索中的相关反馈：使用正面和否定例子的新方法
5. Content-based image indexing and query: Feature extraction, evidence combination and relevance feedback. [D] . Menon, Raghu P. 2003

机译：基于内容的图像索引和查询：特征提取，证据组合和相关性反馈。
6. Adult Age Differences in Learning from Positive and Negative Probabilistic Feedback [O] . Jessica R. Simon, James H. Howard Jr., Darlene V. Howard -1

机译：成人年龄差异从积极和负面概率反馈学习
7. A Feature Re-Weighting Approach for Relevance Feedback in Image Retrieval [O] . Yimin Wu, Aidong Zhang 2002

机译：图像检索中相关反馈的特征加权算法
8. Mining Specific and General Features in Both Positive and Negative Relevance Feedback. QUT E-Discovery Lab at the TREC'09 Relevance Feedback Track [R] . Li, Y., Tao, X., Algarni, A., 2009

机译：在正相关反馈和负相关反馈中挖掘特定和一般特征。在TREC'09相关反馈轨道上的QUT电子发现实验室

Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples

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