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» Surrogate Ranking for Very Expensive Similarity Queries
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ICDE
2010
IEEE
171views Database» more  ICDE 2010»
14 years 4 months ago
Surrogate Ranking for Very Expensive Similarity Queries
1 We consider the problem of similarity search in applications where the cost of computing the similarity between two records is very expensive, and the similarity measure is not a...
Chris Jermaine, Fei Xu, Mingxi Wu, Ravi Jampani, T...
SIGMOD
2002
ACM
112views Database» more  SIGMOD 2002»
14 years 5 months ago
Minimal probing: supporting expensive predicates for top-k queries
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
Kevin Chen-Chuan Chang, Seung-won Hwang
CVPR
2004
IEEE
14 years 7 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
ICDE
2010
IEEE
202views Database» more  ICDE 2010»
14 years 4 months ago
Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...
PVLDB
2008
127views more  PVLDB 2008»
13 years 4 months ago
Hashed samples: selectivity estimators for set similarity selection queries
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...