New PDF release: Belief Functions: Theory and Applications: Proceedings of

By Hung T. Nguyen (auth.), Thierry Denoeux, Marie-Hélène Masson (eds.)

ISBN-10: 364229460X

ISBN-13: 9783642294600

ISBN-10: 3642294618

ISBN-13: 9783642294617

The thought of trust features, sometimes called facts conception or Dempster-Shafer thought, was once first brought via Arthur P. Dempster within the context of statistical inference, and used to be later built through Glenn Shafer as a normal framework for modeling epistemic uncertainty. those early contributions were the beginning issues of many very important advancements, together with the Transferable trust version and the speculation of tricks. the idea of trust services is now good validated as a basic framework for reasoning with uncertainty, and has good understood connections to different frameworks similar to chance, danger and obscure chance theories.

This quantity includes the complaints of the 2nd foreign convention on trust services that used to be held in Compiègne, France on 9/11 may perhaps 2012. It gathers fifty one contributions describing contemporary advancements either on theoretical matters (including approximation tools, blend principles, non-stop trust services, graphical types and independence techniques) and purposes in numerous parts together with type, photo processing, data and clever vehicles.

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Extra resources for Belief Functions: Theory and Applications: Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012

Example text

This supports our idea of using an interval-valued measure. Consider BFs m1 and m2 modeling two subjects’ uncertainty about X. Our goal is define a measure of the (dis)similarity between the two subjects’ beliefs based on the corresponding credal sets Km1 (X) and Km2 (X). Following a sensitivity analysis approach, we might assume that a true probability mass function (or, in behavioural terms, a true fair price), modeling the subjective uncertainty about X, exists for both subjects. Yet, due to partial lack of information, the subjects are only able to identify that these mass functions belong to their corresponding credal sets.

In: Procs. of UAI (2011) 6. : Handling Sequential Observations in Intelligent Surveillance. , Grant, J. ) SUM 2011. LNCS, vol. 6929, pp. 547–560. Springer, Heidelberg (2011) 7. : Event composition with imperfect information for bus surveillance. In: Procs. of AVSS, pp. 382–387. IEEE Press (2009) 8. : Intelligent sensor information system for public transport: To safely go... In: Procs. of AVSS (2010) 9. ECIT Queen’s University of Belfast. uk/Research/ResearchGroups/ IntelligentSurveillanceSystems 10.

18th European Conference on Machine Learning, September 1721 (2007) 10. : A dependent multilabel classification method derived from the k-nearest neighbor rule. 1155/2011/645964 An Evidential Improvement for Gender Profiling Jianbing Ma, Weiru Liu, and Paul Miller Abstract. CCTV systems are broadly deployed in the present world. To ensure intime reaction for intelligent surveillance, it is a fundamental task for real-world applications to determine the gender of people of interest. However, normal video algorithms for gender profiling (usually face profiling) have three drawbacks.

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Belief Functions: Theory and Applications: Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 by Hung T. Nguyen (auth.), Thierry Denoeux, Marie-Hélène Masson (eds.)


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