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» Relevance Feedback Retrieval of Time Series Data
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SIGIR
2005
ACM
15 years 5 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...
PRL
2008
143views more  PRL 2008»
14 years 11 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
ICDE
2006
IEEE
188views Database» more  ICDE 2006»
16 years 1 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
TCS
2008
14 years 11 months ago
On temporal logic constraint solving for analyzing numerical data time series
Temporal logics and model-checking have proved successful to respectively express biological properties of complex biochemical systems, and automatically verify their satisfaction...
François Fages, Aurélien Rizk
SAMT
2007
Springer
203views Multimedia» more  SAMT 2007»
15 years 5 months ago
A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Manuel Möller, Michael Sintek