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of 117
pro vyhledávání: '"Philippe Smets"'
Autor:
Philippe Smets
Publikováno v:
Information Fusion. 8:387-412
We consider uncertain data which uncertainty is represented by belief functions and that must be combined. The result of the combination of the belief functions can be partially conflictual. Initially Shafer proposed Dempster's rule of combination wh
Autor:
Branko Ristic, Philippe Smets
Publikováno v:
Aerospace Science and Technology. 11:303-309
Suppose we are given multiple independent reports on the count and identification (class, type, allegiance) of objects that are present in a certain volume of interest. The reports are uncertain (random and non-specific) and collected with the probab
Autor:
Branko Ristic, Philippe Smets
Publikováno v:
Information Fusion. 8:16-27
The paper develops an approach to joint tracking and classification based on belief functions as understood in the transferable belief model (TBM). The TBM model is identical to the classical model except all probability functions are replaced by bel
Autor:
Philippe Smets, Jacques Tiberghien, René Bourgain, P. Reygaert, I. Raadschelders, Pierre Block, J. Lanckriet, P. Lenders, Fred Kornreich, J. P. Crabbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9711413ff9b128da9a87d70feb3da399
https://doi.org/10.1159/000398382
https://doi.org/10.1159/000398382
Autor:
A. Grijseels, I. Raadschelders, Oscar Steenhaut, Philippe Smets, P. Reygaert, M. Jonckheere, W. Wittesaele, G. Narmon, Jacques Tiberghien, Fred Kornreich, J. Namenwirth, J. P. Crabbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::133ddddb33ae500f7de8537c9e0a5cc3
https://doi.org/10.1159/000400439
https://doi.org/10.1159/000400439
Autor:
Philippe Smets, Branko Ristic
Publikováno v:
Information Fusion. 7:276-284
The problem is sequential association of combat ID declarations in the multi-target environment. Being random and non-specific, the combat ID declarations are represented by belief functions and manipulated using the tools of the belief function theo
Autor:
Branko Ristic, Philippe Smets
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 41:574-583
A theoretical framework is presented for target classification based on the belief theory on the continuous space. The proposed approach is applicable when class-conditioned densities of feature/attribute measurements are known only partially, as sub
Target Identification Based on the Transferable Belief Model Interpretation of Dempster–Shafer Model
Autor:
Philippe Smets, F. Delmotte
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 34:457-471
This paper explains how multisensor data fusion and target identification can be performed within the transferable belief model (TBM), a model for the representation of quantified uncertainty based on belief functions. We present the underlying theor
Autor:
Dov M. Gabbay, Philippe Smets
This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, d