Belief theoretic methods for soft and hard data fusion

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 2388-2391

  Wickramarathne, T L ^a   Premaratne, K ^a   Murthi, M N ^a   Scheutz, M ^b,c   Kubler S ^b   Pravia, M ^d  

^a UNIVERSITY OF MIAMI   (United States)

^b INDIANA UNIVERSITY   (United States)

^c INDIANA UNIVERSITY   (United States)

^d BAE SYSTEMS   (United States)

Author keywords

Dempster Shafer belief theory; evidence fusion; evidence updating; soft information

Indexed keywords

COMPUTATIONAL REQUIREMENTS; COMPUTATIONALLY EFFICIENT; DATA PROCESSING METHODS; DATA UNCERTAINTY; DEMPSTER-SHAFER; DEMPSTER-SHAFER BELIEF THEORY; DS METHOD; EVIDENCE FUSION; EVIDENCE UPDATING; EXTRACTING INFORMATION; HARD DATA; HETEROGENEOUS DATA; ILLUSTRATIVE EXAMPLES; LOGIC STATEMENTS; PHYSICS-BASED; PROBABILISTIC APPROACHES; SENSING SYSTEMS; SOFT DATA; SOFT INFORMATION; STATISTICAL NATURAL LANGUAGE PROCESSING; TEXT SOURCES; UNCERTAIN RULES; UNCERTAINTY BOUNDS;

ACOUSTICS; COMPUTATIONAL LINGUISTICS; DATA FUSION; FORTH (PROGRAMMING LANGUAGE); NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SENSORS; SIGNAL PROCESSING; SPEECH COMMUNICATION;

DATA HANDLING;

EID: 80051652479     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946964     Document Type: Conference Paper

References (12)

1. Proc. Int. Conf. on Inf. Fusion (FUSION), Seattle, WA, July 2009.
2. Proc. Int. Conf. on Inf. Fusion (FUSION), Edinburgh, UK, July 2010.
3. K. Sambhoos, J. Llinas, and E. Little, "Graphical methods for real-time fusion and estimation with soft message data," in Proc. FUSION, Cologne, Germany, July 2008.
4. D. Lewis, "Probabilities of conditionals and conditional probabilities," The Philosophical Rev., vol. LXXXV, no. 3, pp. 297-315, July 1976.
5. A. Benavoli, L. Chisci, A. Farina, and B. Ristic, "Modelling uncertain implication rules in evidence theory," in Proc. FUSION, Cologne, Germany, July 2008.
6. G. Shafer, A Mathematical Theory of Evidence, Princeton Univ. Press, Princeton, NJ, 1976.
7. T. L. Wickramarathne, K. Premaratne, M. N. Murthi, and M. Scheutz, "A Dempster-Shafer theoretic evidence updating strategy for non-identical frames of discernment," in Proc. Workshop on the Theory of Belief Functions (WTBF), Brest, France, Apr. 2010.
8. T. L. Wickramarathne, K. Premaratne, M. N. Murthi, "Focal elements generated by the Dempster-Shafer theoretic conditionals: a complete characterization," in Proc. FUSION, Edinburgh, UK, July 2010.
9. F. Janez and A. Appriou, "Theory of evidence and non-exhaustive frames of discernment: plausibilities correction methods," Int. J. of Approx. Reasoning, vol. 18, no. 1/2, pp. 1-19, Jan./Feb. 1998.
10. E. C. Kulasekere, K. Premaratne, D. A. Dewasurendra, M.-L. Shyu, and P. H. Bauer, "Conditioning and updating evidence," Int. J. of Approx. Reasoning, vol. 36, no. 1, pp. 75-108, Apr. 2004.
11. R. Fagin and J. Y. Halpern, "A new approach to updating beliefs," in Proc. Conf. on Uncertainty in Artif. Intell. (UAI), P. P. Bonissone, M. Henrion, L. N. Kanal, and J. F. Lemmer, Eds., pp. 347-374. Elsevier Science, New York, NY, 1991.
12. P. Smets, "Practical uses of belief functions," in Proc. Conf. on Uncertainty in Artif. Intell. (UAI), K. B. Laskey and H. Prade, Eds., pp. 612-621. Morgan Kaufmann, 1999.