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Probabilistic document-context based relevance feedback with limited relevance judgments

机译：基于概率文档上下文的相关性反馈，具有有限的相关性判断

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Department of Computing

机译：计算系

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作者
Wu HC; Luk RWP; Wong KF; Kwok KL;
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年度 2006
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正文语种 eng
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1. Convolutional neural networks for relevance feedback in content based image retrieval A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback [J] . Lorenzo Putzu, Luca Piras, Giorgio Giacinto Multimedia Tools and Applications . 2020,第37a38期

机译：基于内容的图像检索的相关反馈的卷积神经网络基于内容的图像检索系统，用于利用特征提取和相关性反馈的卷积神经网络
2. A new SVM-based relevance feedback image retrieval using probabilistic feature and weighted kernel function [J] . Wang Xiang-Yang, Liang Lin-Lin, Li Wei-Yi, Journal of visual communication & image representation . 2016,第jula期

机译：利用概率特征和加权核函数的基于SVM的相关反馈图像检索
3. Probabilistic semantic network-based image retrieval using MMM and relevance feedback [J] . Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Multimedia Tools and Applications . 2006,第2期

机译：使用MMM和相关性反馈的基于概率语义网络的图像检索
4. Probabilistic document-context based relevance feedback with limited relevance judgments [C] . H. C. Wu, R. W. P. Luk, K. F. Wong, ACM international conference on Information and knowledge management . 2006

机译：基于概率文档上下文的相关性反馈，具有有限的相关性判断
5. A relevance feedback-based system for quickly narrowing biomedical literature search result. [D] . Alatrash, Massuod Hassan. 2013

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6. PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks [O] . Yu Shi, Po-Wei Chan, Honglei Zhuang, -1

机译：PReP：异构信息网络中基于概率的路径相关性
7. Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples [O] . Mohammed Lamine Kherfi, Djemel Ziou 2006

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
8. Evaluating a Novel Kind of Retrieval Models Based on Relevance Decision Making in a Relevance Feedback Environment [R] . Wu, H., Dang, K. F., Luk, R. W., 2008

机译：基于相关性决策的相关反馈环境下一种新型检索模型的评估

Probabilistic document-context based relevance feedback with limited relevance judgments

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