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» Aspect-Based Relevance Learning for Image Retrieval
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ECML
2004
Springer
14 years 1 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
TKDE
2008
116views more  TKDE 2008»
13 years 7 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
SSPR
2010
Springer
13 years 5 months ago
Impact of Visual Information on Text and Content Based Image Retrieval
Abstract. Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more ...
Christophe Moulin, Christine Largeron, Mathias G&e...
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
MLDM
1999
Springer
13 years 12 months ago
Independent Feature Analysis for Image Retrieval
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They su€er from unequal di€erential relevance of features in comput...
Jing Peng, Bir Bhanu