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» On Scalable Information Retrieval Systems
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SIGIR
2008
ACM
13 years 10 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ICIP
2009
IEEE
13 years 8 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
WWW
2009
ACM
14 years 11 months ago
OpenRuleBench: an analysis of the performance of rule engines
The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since severa...
Senlin Liang, Paul Fodor, Hui Wan, Michael Kifer
SAMT
2007
Springer
171views Multimedia» more  SAMT 2007»
14 years 4 months ago
SAPIR: Scalable and Distributed Image Searching
—In this paper we present a scalable and distributed system for image retrieval based on visual features and annotated text. This system is the core of the SAPIR project. Its arc...
Fabrizio Falchi, Mouna Kacimi, Yosi Mass, Fausto R...
SRDS
1991
IEEE
14 years 1 months ago
A Fault-Tolerant, Scalable, Low-Overhead Distributed Garbage Detection Protocol
We present a protocol for the distributed detection of garbage in a distributed system subject to common failures such as lost and duplicated messages, network partition, dismount...
Marc Shapiro