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Extraction of Feature Subspaces for Content-Based Retrieval Using Relevance Feedback

机译：相关反馈提取基于内容的特征子空间

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Zhong Su; Stan Li; Hongjiang Zhang;
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年度 2001
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1. Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning [J] . Zhong Su, Hongjiang Zhang, Li S., IEEE Transactions on Image Processing . 2003,第8期

机译：基于内容的图像检索中的相关性反馈：贝叶斯框架，特征子空间和渐进式学习
2. 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
3. Relevance feedback in content-based image retrieval system by selective region growing in the feature space [J] . Jung Won Kwak, Nam Ik Cho Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing . 2003,第9期

机译：基于特征空间中选择性区域的基于内容的图像检索系统中的相关性反馈
4. Extraction of feature subspaces for content-based retrieval using relevance feedback [C] . Zhong Su, Stan Li, Hongjiang Zhang ACM international conference on Multimedia . 2001

机译：使用相关性反馈提取特征子空间以进行基于内容的检索
5. Local feature saliency maps for persistent relevance feedback-driven content-based image retrieval. [D] . Jones, Brett Charles. 2001

机译：局部特征显着图，用于持久性相关性反馈驱动的基于内容的图像检索。
6. Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval [O] . Shrikant A. Mehre, Ashis Kumar Dhara, Mandeep Garg, 2019

机译：基于最优特征集和基于类成员资格的肺结节基于内容的图像检索系统
7. Dynamic Feature Weights with Relevance Feedback in Content-Based Image Retrieval [O] . Guldogan, Esin, Gabbouj, Moncef 2009

机译：基于内容的图像检索中具有相关性反馈的动态特征权重
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

Extraction of Feature Subspaces for Content-Based Retrieval Using Relevance Feedback

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