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4
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0035401511
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Joint target tracking and classification using radar and ESM sensors
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S. Challa and G. W. Pulford. Joint target tracking and classification using radar and ESM sensors. IEEE Trans. Aerospace and Electronic Systems, 37(3): 1039-1055, 2001.
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IEEE Trans. Aerospace and Electronic Systems
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Challa, S.1
Pulford, G.W.2
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5
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6344245351
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Target identification based on the transferable belief model interpretation of dempster-shafer model
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Submitted
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F. Delmotte and P. Smets. Target identification based on the transferable belief model interpretation of Dempster-Shafer model. Part 2: Applications. Submitted, 2002.
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(2002)
Part 2: Applications
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Delmotte, F.1
Smets, P.2
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6
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3142737308
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Target identification based on the transferable belief model interpretation of Dempster-Shafer model
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Accepted for publication
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P. Delmotte and P. Smets. Target identification based on the transferable belief model interpretation of Dempster-Shafer model, IEEE Trans. Systems, Man, and Cybernetics - Part 2004. Accepted for publication.
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IEEE Trans. Systems, Man, and Cybernetics - Part 2004
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Delmotte, P.1
Smets, P.2
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7
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0000516376
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Upper and lower probabilities induced by a multiple valued mapping
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A. P. Dempster. Upper and lower probabilities induced by a multiple valued mapping. Ann. Math. Statistics, 38:325-339, 1967.
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Ann. Math. Statistics
, vol.38
, pp. 325-339
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Dempster, A.P.1
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8
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0000845990
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Construction and local computation aspects of network belief functions
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R. M. Oliver and J. Q. Smith, editors, John Wiley and Sons, Chichester
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A.P. Dempster. Construction and local computation aspects of network belief functions. In R. M. Oliver and J. Q. Smith, editors, Influencce diagrams, belief nets and decision analysis, pages 121-141. John Wiley and Sons, Chichester, 1990.
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, pp. 121-141
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9
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0036959290
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Joint tracking and identification algorithms for multisensor data
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A. Farina, P. Lombardo, and M. Marsella. Joint tracking and identification algorithms for multisensor data. IEE Proc. Radar Sonar Navig., 149(6):271-280, 2002.
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IEE Proc. Radar Sonar Navig.
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, Issue.6
, pp. 271-280
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Farina, A.1
Lombardo, P.2
Marsella, M.3
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10
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0036458736
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Efficient particle filters for joint tracking and classification
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N. Gordon, S. Maskell, and T. Kirubarajan. Efficient particle filters for joint tracking and classification. In Proc. SPIE, volume 4728, pages 439-449, 2002.
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Proc. SPIE
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, pp. 439-449
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Gordon, N.1
Maskell, S.2
Kirubarajan, T.3
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13
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6344230871
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Belief function theory on the continuous space with an application to model based classification
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Perugia, Italy, July . Submitted
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B. Ristic and Ph. Smets. Belief function theory on the continuous space with an application to model based classification. In Proc. Information Processing and Management of Unceratinty (IPMU), Perugia, Italy, July 2004. Submitted.
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(2004)
Proc. Information Processing and Management of Unceratinty (IPMU)
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Ristic, B.1
Smets, Ph.2
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14
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6344227603
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Kalman filters for tracking and classification and the transferable belief model
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IRIDIA, Université Libre de Bruxelles, Belgium., 50 av. Roosevelt, CP194/6, 1050 Brussels, Belgium, In preparation
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B. Ristic and Ph. Smets. Kalman filters for tracking and classification and the transferable belief model. Technical report, IRIDIA, Université Libre de Bruxelles, Belgium., 50 av. Roosevelt, CP194/6, 1050 Brussels, Belgium, 2004. In preparation.
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(2004)
Technical Report
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Ristic, B.1
Smets, P.2
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16
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0003106837
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Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
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Ph. Smets. Belief functions: the disjunctive rule of combination and the generalized Bayesian theorem. Int. J. Approximate Reasoning, 9:1-35, 1993.
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(1993)
Int. J. Approximate Reasoning
, vol.9
, pp. 1-35
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Smets, Ph.1
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17
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0002792194
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What is dempster-shafer's model?
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R. R. Yager, J. Kacprzyk, and M. Pedrizzi, editors, Wiley, New York
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Ph. Smets. What is Dempster-Shafer's model? In R. R. Yager, J. Kacprzyk, and M. Pedrizzi, editors, Advances in the Dempster-Shafer Theory of Evidence, pages 5-34. Wiley, New York, 1994.
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(1994)
Advances in the Dempster-Shafer Theory of Evidence
, pp. 5-34
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Smets, Ph.1
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18
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0001099497
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The transferable belief model for quantified belief representation
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D. M. Gabbay and Ph. Smets, editors, Kluwer, Doordrecht, The Netherlands
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Ph. Smets. The transferable belief model for quantified belief representation. In D. M. Gabbay and Ph. Smets, editors, Handbook of Defeasible Reasoning and Uncertainty Management Systems, volume 1, pages 267-301. Kluwer, Doordrecht, The Netherlands, 1998.
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(1998)
Handbook of Defeasible Reasoning and Uncertainty Management Systems
, vol.1
, pp. 267-301
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Smets, Ph.1
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19
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0001124012
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Practical uses of belief functions
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K. B. Laskey and H. Prade, editors, Morgan Kaufman, San Francisco, Ca
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Ph. Smets. Practical uses of belief functions. In K. B. Laskey and H. Prade, editors, Uncertainty in Artificial Intelligence 99, pages 612-621. Morgan Kaufman, San Francisco, Ca, 1999.
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(1999)
Uncertainty in Artificial Intelligence 99
, pp. 612-621
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Smets, Ph.1
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20
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84901417639
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Data fusion in the transferable belief model
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FUSION Paris, France, 2000
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Ph. Smets. Data fusion in the transferable belief model. In Proc. 3rd Int. Conf. Information Fusion, pages PS 21-33. FUSION 2000, Paris, France, 2000.
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(2000)
Proc. 3rd Int. Conf. Information Fusion
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Smets, Ph.1
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21
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0038668298
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Decision making in a context where uncertainty is represented by belief functions
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R. P. Srivastava and T.J. Mock, editors, Physica-Verlag, Heidelberg, Germany
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Ph. Smets. Decision making in a context where uncertainty is represented by belief functions. In R. P. Srivastava and T.J. Mock, editors, Belief Functions in Business Decisions, pages 17-61. Physica-Verlag, Heidelberg, Germany, 2002.
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(2002)
Belief Functions in Business Decisions
, pp. 17-61
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Smets, Ph.1
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