467 search results - page 16 / 94 » Using Pseudo-Relevance Feedback to Improve Image Retrieval R... |
86
Voted
SIGIR
2006
ACM
15 years 6 months ago
2006
ACM
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
101
Voted
ICMCS
2005
IEEE
15 years 6 months ago
2005
IEEE
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
103
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ETRA
2010
ACM
15 years 7 months ago
2010
ACM
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
146
Voted
SIGIR
2011
ACM
14 years 3 months ago
2011
ACM
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
113
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DICTA
2008
15 years 2 months ago
2008
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...