31 search results - page 3 / 7 » Learning from Relevance Feedback Sessions using a K-Nearest-... |
ACCV
2010
Springer
13 years 8 days ago
2010
Springer
Activity videos are widespread on the Internet but current video search is limited to text tags due to limitations in recognition systems. One of the main reasons for this limitati...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
ICASSP
2007
IEEE
13 years 11 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...
CIVR
2008
Springer
13 years 7 months ago
2008
Springer
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
ICITA
2005
IEEE
13 years 10 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...