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ICCV
2001
IEEE
14 years 9 months ago
What Value Covariance Information in Estimating Vision Parameters?
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
Michael J. Brooks, Wojciech Chojnacki, Darren Gawl...
CSDA
2006
71views more  CSDA 2006»
13 years 7 months ago
Practical representations of incomplete probabilistic knowledge
This article deals with the compact representation of incomplete probabilistic knowledge which can be encountered in risk evaluation problems, for instance in environmental studie...
Cédric Baudrit, Didier Dubois
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 9 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 9 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
ECSQARU
2005
Springer
14 years 1 months ago
Measuring the Quality of Uncertain Information Using Possibilistic Logic
Abstract. In previous papers, we have presented a framework for merging structured information in XML involving uncertainty in the form of probabilities, degrees of beliefs and nec...
Anthony Hunter, Weiru Liu