467 search results - page 13 / 94 » Using Pseudo-Relevance Feedback to Improve Image Retrieval R... |
160
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ICMCS
2008
IEEE
16 years 14 days ago
2008
IEEE
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...
169
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WWW
2008
ACM
16 years 6 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
180
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MM
2004
ACM
15 years 11 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
166
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ICMCS
2000
IEEE
15 years 10 months ago
2000
IEEE
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
147
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CIVR
2005
Springer
15 years 11 months ago
2005
Springer
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...