Belief Function Theory - Information Fusion in Signal and Image Processing - page 119

7.8. Bibliography

[AND 88] A NDRESS K.M., K AK A.C., “Evidence Accumulation and Flow Control in a Hier-
archical Spatial Reasoning System”, AI Magazine , p. 75-94, 1988.
[APP 91] A PPRIOU A., “Probabilités et incertitude en fusion de données multi-senseurs”,
Revue Scientifique et Technique de la Défense , no. 11, p. 27-40, 1991.
[APP 93] A PPRIOU A., “Formulation et traitement de l'incertain en analyse multi-senseurs”,
Quatorzième Colloque GRETSI , Juan-les-Pins, p. 951-954, 1993.
[BAL 92] B ALDWIN J.F., “Inference for Information Systems Containing Probabilistic and
Fuzzy Uncertainties”, in L. Z ADEH and J. K ACPRZYK (ed.) Fuzzy Logic and the Manage-
ment of Uncertainty , p. 353-375, J. Wiley, New York, 1992.
[BAR 81] B ARNETT J.A., “Computational Methods for a Mathematical Theory of Evidence”,
Proc. of 7th IJCAI , Vancouver, p. 868-875, 1981.
[BLO 95] B LOCH I., “Fondements des probabilités et des croyances: une discussion des
travaux de Cox et Smets”, 15 th GRETSI Symposium , Juan-les-Pins, France, p. 909-912,
September 1995.
[BLO 96] B LOCH I., “Some Aspects of Dempster-Shafer Evidence Theory for Classification
of Multi-Modality Medical Images Taking Partial Volume Effect into Account”, Pattern
Recognition Letters , vol. 17, no. 8, p. 905-919, 1996.
[BLO 97a] B LOCH I., “Using Fuzzy Mathematical Morphology in the Dempster-Shafer
Framework for Image Fusion under Imprecision”, IFSA'97 , Prague, p. 209-214, 1997.
[BLO 97b] B LOCH I., A URDAL L., B IJNO D., M ÜLLER J., “Estimation of Class Membership
Functions for Grey-Level Based Image Fusion”, IEEE ICIP'97 , vol. III, Santa Barbara,

California, p. 268-271, October 1997.
[CHE 93] C HEN S.Y., L IN W.C., C HEN C.T., “Evidential Reasoning based on Dempster-
Shafer Theory and its Application to Medical Image Analysis”, SPIE , vol. 2032, p. 35-46,
1993.
[CLE 91] V AN C LEYNENBREUGEL J., O SINGA S.A., F IERENS F., S UETENS P. , O OSTER -
LINCK A., “Road Extraction from Multi-temporal Satellite Images by an Evidential Rea-
soning Approach”, Pattern Recognition Letters , vol. 12, p. 371-380, 1991.
[COX 46] C OX R.T., “Probability, Frequency and Reasonable Expectation”, Journal of

Physics , vol. 14, no. 1, p. 115-137, 1946.
[CUC 92] C UCKA P. , R OSENFELD A., Evidence-based Pattern Matching Relaxation, Tech-
nical Report no. CAR-TR-623, Center of Automation Research, University of Maryland,
May 1992.
[DEN 95] D ENŒUX T., “A k-nearest Neighbor Classification Rule based on Dempster-Shafer
Theory”, IEEE Transactions on Systems, Man and Cybernetics , vol. 25, no. 5, p. 804-813,
1995.
[DEN 06] D ENŒUX T., “Construction of belief functions from sample data using multimodal
confidence regions”, International Journal of Approximate Reasoning , vol. 42, p. 228-252,
2006.