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» Representing Uncertainty in RuleML
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ICCVW
1999
Springer
14 years 3 days ago
Uncertainty Modeling for Optimal Structure from Motion
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
Daniel D. Morris, Ken-ichi Kanatani, Takeo Kanade
TIM
2010
144views Education» more  TIM 2010»
13 years 2 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Uncertainty as a Modality over t-norm Based Logics
In this work we propose a general approach for representing uncertainty measures in the framework of t-norm based logics. This approach is extended also to classes of measures lik...
Enrico Marchioni
WS
2008
ACM
13 years 7 months ago
Managing uncertainty and vagueness in description logics for the Semantic Web
Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which a...
Thomas Lukasiewicz, Umberto Straccia
CORR
2002
Springer
96views Education» more  CORR 2002»
13 years 7 months ago
A computer scientist looks at game theory
I consider issues in distributed computation that should be of relevance to game theory. In particular, I focus on (a) representing knowledge and uncertainty, (b) dealing with fai...
Joseph Y. Halpern