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AAAI
1996
9 years 2 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
AAAI
2006
9 years 2 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
9 years 7 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu
SIGCOMM
2012
ACM
7 years 3 months ago
Revealing contact interval patterns in large scale urban vehicular ad hoc networks
Contact interval between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs), which is important to routing schemes and network capacity. In this work,...
Yong Li, Depeng Jin, Pan Hui, Li Su, Lieguang Zeng
ASUNAM
2011
IEEE
8 years 1 months ago
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
Koji Maruhashi, Fan Guo, Christos Faloutsos
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