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EDBT
2006
ACM
169views Database» more  EDBT 2006»
16 years 6 months ago
Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
Ralf Schenkel, Martin Theobald
ICCV
2003
IEEE
15 years 12 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu
MTA
2002
144views more  MTA 2002»
15 years 6 months ago
Semantic Extraction and Semantics-Based Annotation and Retrieval for Video Databases
Digital video databases have become more pervasive and finding video clips quickly in large databases becomes a major challenge. Due to the nature of video, accessing contents of v...
Yan Liu 0004, Fei Li
ISMIR
2003
Springer
94views Music» more  ISMIR 2003»
15 years 11 months ago
A multiple feature model for musical similarity retrieval
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have...
E. Allamanche, Jürgen Herre, Oliver Hellmuth,...
SIGIR
2008
ACM
15 years 6 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai