IJAR 2008 - PDF Preprint Papers

IJAR 2008

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IJAR
2008

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Defining belief functions using mathematical morphology - Application to image fusion under imprecision

13 years 4 months ago

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We address in this paper the problem of defining belief functions, typically for multi-source classification applications in image processing. We propose to use mathematical morph...

Isabelle Bloch

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Id	Views	Title	Status

1	177	Defining belief functions using mathematical morphology - Application to image fusion under imprecision	claim
2	167	Approximate algorithms for credal networks with binary variables	claim
3	161	Bayesian learning for a class of priors with prescribed marginals	claim
4	155	Estimation of causal effects using linear non-Gaussian causal models with hidden variables	claim
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8	120	The fundamental theorems of prevision and asset pricing	claim
9	119	Adapting Bayes network structures to non-stationary domains	claim
10	119	Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications	claim
11	118	Dynamic multiagent probabilistic inference	claim
12	117	New geometric inference techniques for type-2 fuzzy sets	claim
13	116	Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory	claim
14	114	A definition of subjective possibility	claim
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17	99	Unifying practical uncertainty representations. II: Clouds	claim
18	98	Fuzzy region connection calculus: Representing vague topological information	claim
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