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» Adaptive Selectivity Estimation Using Query Feedback
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SIGMOD
2001
ACM
136views Database» more  SIGMOD 2001»
14 years 7 months ago
Selectivity Estimation using Probabilistic Models
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
Lise Getoor, Benjamin Taskar, Daphne Koller
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
14 years 1 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
ICDE
2004
IEEE
94views Database» more  ICDE 2004»
14 years 8 months ago
A Probabilistic Approach to Metasearching with Adaptive Probing
An ever increasing amount of valuable information is stored in Web databases, "hidden" behind search interfaces. To save the user's effort in manually exploring eac...
Zhenyu Liu, Chang Luo, Junghoo Cho, Wesley W. Chu
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
14 years 8 months ago
Diagnosing Estimation Errors in Page Counts Using Execution Feedback
Errors in estimating page counts can lead to poor choice of access methods and in turn to poor quality plans. Although there is past work in using execution feedback for accurate c...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
ACIVS
2005
Springer
14 years 27 days ago
Interactive Object-Based Retrieval Using Relevance Feedback
In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model...
Sorin Sav, Hyowon Lee, Noel E. O'Connor, Alan F. S...