Information Fusion 2005
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Presenters, Abstracts, and Papers

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Refereed Papers

Kanupriya Salaria, Temple University
Li Bai, Temple University
Erwei Lin, ECE, Drexel University
EFFICIENT DOA ESTIMATION METHOD EMPLOYING REFINED IMPROVED POLYNOMIAL ROOTING

*David Scherba, NCSA, University of Illinois at Urbana-Champaign
Peter Bajcsy, NCSA, University of Illinois at Urbana-Champaign
Depth Map Calibration by Stereo and Wireless Sensor Network Fusion

Craig Schlenoff, Intelligent Systems Division, National Institute of Standard
Raj Madhavan, NIST
Jim Albus, NIST
Elena Messina, NIST
Tony Barbera, NIST
Stephen Balakirsky, NIST
Fusing Disparate Information within the 4D/RCS Architecture

Oliver C. Schrempf, Intelligent Sensor-Actuator-Systems,Institute of Computer De
Olga Feiermann, Intelligent Sensor-Actuator-Systems,Institute of Computer Design and Fault Tolerance, Universität Karlsruhe, Kaiserstrasse 12, 76128 Karlsruhe
Uwe D. Hanebeck, Intelligent Sensor-Actuator-Systems,Institute of Computer Design and Fault Tolerance, Universität Karlsruhe, Kaiserstrasse 12, 76128 Karlsruhe
Optimal Mixture Approximation of the Product of Mixtures

Johan Schubert, Department of Data and Information Fusion, Division of Comma
Hedvig Sidenbladh, Department of IR Systems, Division of Sensor Technology, Swedish Defence Research Agency
Sequential clustering with particle filters - estimating the number of clusters from data

Christine Schubert, Department of Mathematics and Statistics, Air Force Institute of Technology
Mark Oxley, Department of Mathematics and Statistics, Air Force Institute of Technology
Kenneth Bauer, Department of Operational Sciences, Air Force Institute of Technology
A Comparison of ROC Curves for Label-Fused Within and Across Classifier Systems

Huifeng Shen, College of Computer Science, Zhejiang University, P.R.China
Congfu Xu, College of Computer Science, Zhejiang University, P.R.China
Xuemei Han, College of Computer Science, Zhejiang University, P.R.China
Yunhe Pan, College of Computer Science, Zhejiang University, P.R.China
Stock Tracking : A New Approach for Stock Analysis and Forecasting

*Anil Shukla
Aaron Lockton
*David Fraser
*Angela Chan
*Julian Field
*Setnam Shemar
The Impact of Tropospheric Propagation on Data Fusion from Multiple Radars

Hedvig Sidenbladh, Department of IR Systems, Division of Sensor Technology, Swe
Pontus Svenson, Department of Data and Information Fusion, Division of Command and Control Systems, Swedish Defence Research Agency
Johan Schubert, Department of Data and Information Fusion, Division of Command and Control Systems, Swedish Defence Research Agency
Comparing Future Situation Pictures

Eswar Sivaraman, Department of Systems Engineering and Operations Research, G
Kuo-Chu Chang, Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030
A New Approach for Evaluating the Classification Performance of Multi-sensor Fusion Systems

Michael Skutek, Chemnitz University of Technology
Dirk Linzmeier, University of Ulm
Nils Appenrodt, DaimlerChrysler AG
Gerd Wanielik, Chemnitz University of Technology
A PreCrash System based on Sensor Data Fusion of Laser Scanner and Short Range Radars

Florentin Smarandache, Dept. of Mathematics, Univ. of New Mexico, Gallup, NM 87301,
Information fusion based on new proportional conflict redistribution rules

Paul Smart, Electronics and Computer Science, University of Southampton,
*Nigel Shadbolt, Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom
*Les Carr, Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom
*monica schraefel, Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom
Knowledge-Based Information Fusion for Improved Situational Awareness

Philippe Smets, Brussels Free University
Managing Deceitful Reports with the Transferable Belief Model.

*Alexander Smirnov, St.Petersburg Institute for Informatics and Automation of RA
Michael Pashkin, St.Petersburg Institute for Informatics and Automation of RAS
Nikolai Chilov, St.Petersburg Institute for Informatics and Automation of RAS
Tatiana Levashova, St.Petersburg Institute for Informatics and Automation of RAS
Andrew Krizhanovsky, St.Petersburg Institute for Informatics and Automation of RAS
Ontology-Driven Information Integration to Operational Decision Support

Lauro Snidaro, Department of Mathematics and Computer Science, University of Udine, Italy
Gian Luca Foresti, Department of Mathematics and Computer Science, University of Udine, Italy
Sensor quality evaluation in a multi-camera system

James Spall, Johns Hopkins Univ., Applied Physics Laboratory
Seesaw Method for Combining Parameter Estimates

*Fredrik Stavfors, Dept of Computer Science, KTH, Stockholm, Sweden
Per Svensson, Dept of Data and Information Fusion, Swedish Defence Research Agency, Stockholm, Sweden
Recognizing mobile organizations from column formations using Hierarchical Hidden Markov Models: a simulation experiment

Alan Steinberg, CUBRC, State University of New York at Buffalo
An Approach to Threat Assessment

Das Subrata, Charles River Analytics, Inc.
David Lawless, Charles River Analytics, Inc.
Truth Maintenance System with Probabilistic Constraints for Enhanced Level Two Fusion

Pontus Svenson, Department of Data and Information Fusion, Swedish Defence R
Capabilities-based force aggregation using random sets

James Swinnerton, BAE SYSTEMS
Autonomous Self-Localisation and Mapping Agents

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