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» Improving image retrieval effectiveness via multiple queries
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MIR
2006
ACM
178views Multimedia» more  MIR 2006»
14 years 1 months ago
Dual diffusion model of spreading activation for content-based image retrieval
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
GRID
2007
Springer
13 years 11 months ago
Optimizing multiple queries on scientific datasets with partial replicas
We propose strategies to efficiently execute a query workload, which consists of multiple related queries submitted against a scientific dataset, on a distributed-memory system in...
Li Weng, Ümit V. Çatalyürek, Tahs...
SIGIR
2011
ACM
12 years 10 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
CEE
2010
67views more  CEE 2010»
13 years 7 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
VIP
2003
13 years 9 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin