467 search results - page 11 / 94 » Using Pseudo-Relevance Feedback to Improve Image Retrieval R... |
130
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CVPR
2001
IEEE
16 years 3 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
CIVR
2007
Springer
15 years 7 months ago
2007
Springer
In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of syn...
112
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ICITA
2005
IEEE
15 years 7 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
127
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
142
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ICASSP
2007
IEEE
15 years 7 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...