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Refereed Papers

	Stephen Racunas, Penn State University Christopher Griffin, Penn State University Logical Data Fusion for Biological Hypothesis Evaluation

Darren Radford, School of Engineering and School of Computer Science, Cardif Andriy Kurekin, School of Engineering and School of Computer Science, Cardif David Marshall, School of Computer Science, Cardiff University, CF24 3AA, UK Kenneth Lever, School of Engineering, Cardiff University, CF24 0YF, UK Vladimir Lukin, National Aerospace University, 17, Chkalov St., Kharkov, 61070, Ukraine Robust Processing of SAR Hologram Data to Mitigate Impulse Noise Impairments

	Ben Ragel, ECE, Royal Military College of Canada Mohammad Farooq, ECE, RMC Comparison of Forward Vs. Feedback Kalman Filter For Aided Inertial Navigation System for an AUV

	*Emmanuel Ramasso, University of Savoie Lionel Valet, University of Savoie Sylvie Teyssier Classification Fusion by Decision Templates for Insulating Part Control

	Fabio Ramos, Australian Centre for Field Robotics, University of Sydney Hugh Durrant-Whyte, Australian Centre for Field Robotics, University of Sydney Ben Upcroft, Australian Centre for Field Robotics, University of Sydney Learning Articulated Motion Structures with Bayesian Networks

	serge reboul, Laboratoire d'analyse des systèmes du Littoral, Université d mohammed Benjelloun, Laboratoire d'analyse des systèmes du Littoral, Université du Littoral côte d'opale A Bayesian fusion approach to change-points analysis of processes

	Steven Reece, Engineering Science, Oxford University David Nicholson, BAE SYSTEMS Tighter Alternatives to the Cramer-Rao Lower Bound for Discrete-Time Filtering

	Steven Reece, Engineering Science, Oxford University Robust, Low-Bandwidth, Multi-Vehicle Mapping

	Iead Rezek, University of Oxford, Department of Engineering Science Unifying Learning in Games and Graphical Models

Kathrin Roberts, Intelligent Sensor-Actuator-Systems Laboratory, Institute of Computer Science and Engineering, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany *Hanebeck Uwe D., Intelligent Sensor-Actuator-Systems Laboratory, Institute of Computer Science and Engineering, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany Prediction and Reconstruction of Distributed Dynamic Phenomena Characterized by Linear Partial Differential Equations

	Peter Robins paul thomas Non-linear Bayesian CBRN Source Term Estimation

	peter robins veronica rapley paul thomas A Probabilistic Chemical Sensor Model for Data Fusion

	Alex Rogers, University of Southampton Constrained Bandwidth Allocation in Multi-Sensor Information Fusion: A Mechanism Design Approach

	Galina Rogova, Encompass Consulting Peter Scott, Computer Science and Engineering, University at Buffalo Carlos Lollett, Computer Science and Engineering, University at Buffalo Situation assessment for the post-disaster casualty mitigation operations

	Sam Roweis, University of Toronto, Computer Science Nonlinear Blind Sensor Fusion and Identification

	Jifeng Ru, Department of Electrical Engineering, University of New Orle Vesselin Jilkov, Department of Electrical Engineering, University of New Orleans X. Rong Li, Department of Electrical Engineering, University of New Orleans Sequential Detection of Target Maneuvers

	Dymitr Ruta, British Telecom, Research & Venturing MULTIDIMENSIONAL SELECTION MODEL FOR CLASSIFICATION

	Mark Rutten, Intelligence, Surveillance and Reconnaissance Division, Defe Branko Ristic, Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Organisation, Australia Neil Gordon, Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Organisation, Australia A Comparison of Particle Filters for Recursive Track-before-detect

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