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» Ontological Framework for Approximation
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AAAI
2006
15 years 6 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
UAI
1992
15 years 5 months ago
Interval Structure: A Framework for Representing Uncertain Information
In this paper, a unified framework for representing uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approximat...
S. K. Michael Wong, Lusheng Wang, Yiyu Yao
146
Voted
IJCV
2002
188views more  IJCV 2002»
15 years 4 months ago
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
We propose a new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations. The pro...
Luminita A. Vese, Tony F. Chan
142
Voted
SEMWEB
2009
Springer
15 years 11 months ago
Actively Learning Ontology Matching via User Interaction
Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However...
Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu...
COLING
2008
15 years 6 months ago
A Framework for Identifying Textual Redundancy
The task of identifying redundant information in documents that are generated from multiple sources provides a significant challenge for summarization and QA systems. Traditional ...
Kapil Thadani, Kathleen McKeown