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» The Limits of Querying Ontologies
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ICCV
2009
IEEE
15 years 3 months ago
Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval
We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
Christoph H. Lampert
ICIP
2001
IEEE
15 years 14 days ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 11 months ago
Inverse Functions in the AquaLogic Data Services Platform
When integrating data from heterogeneous sources, it is often necessary to transform both the schemas and the data from the underlying sources in order to present the integrated d...
Nicola Onose, Vinayak R. Borkar, Michael J. Carey
EDBT
2002
ACM
132views Database» more  EDBT 2002»
14 years 11 months ago
A Framework for the Physical Design Problem for Data Synopses
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
Arnd Christian König, Gerhard Weikum
EDBT
2006
ACM
150views Database» more  EDBT 2006»
14 years 11 months ago
Improving the Efficiency of XPath Execution on Relational Systems
: This work describes a method for processing XPath on a relational back-end that significantly limits the number of SQL joins required, takes advantage of the strengths of modern ...
Haris Georgiadis, Vasilis Vassalos