363 search results - page 7 / 73 » Relevance Feedback Retrieval of Time Series Data |
IJACTAICIT
2010
14 years 6 months ago
2010
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...