12th International Conference on Information Fusion
July 6-9, 2009, Grand Hyatt Seattle, Seattle, WA, USA

Program at a Glance    Tuesday    Wednesday    Thursday    Author Index    Keyword Index    My Program  

Last updated on September 2, 2010. This conference program is tentative and subject to change

Technical Program for Tuesday July 7, 2009

 

TuPL Plenary Session, Plenary Room

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The Real World, by Charles Morefield, DARPA  
 
 

09:00-10:00, Paper TuPL.1

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The Real World
Morefield, CharlesDARPA
 

TuA1 Regular Session, Leonesia I

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Particle Filters and Monte Carlo Methods I  
 
Chair: Boers, YvoThales Nederland B. V.
 

10:30-10:50, Paper TuA1.1

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Rao-Blackwellised Variable Rate Particle Filters
Morelande, Mark RichardThe Univ. of Melbourne
Gordon, NeilDSTO
 

10:50-11:10, Paper TuA1.2

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Particle Filtering and Data Association Using Attribute Data
Ekman, MatsSaab AB
 

11:10-11:30, Paper TuA1.3

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Road Target Tracking with an Approximative Rao-Blackwellized Particle Filter
Skoglar, PerLinkoping Univ.
Orguner, UmutLinkoping Univ.
Törnqvist, DavidLinköping Univ.
Gustafsson, FredrikLinkoping Univ.
 

11:30-11:50, Paper TuA1.4

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Wasserstein Distance for the Fusion of Multisensor Multitarget Particle Filter Clouds
Danu, DanielMcMaster Univ.
Kirubarajan, ThiaMcMaster Univ.
Lang, ThomasGeneral Dynamics Canada
 

11:50-12:10, Paper TuA1.5

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Point Estimation for Jump Markov Systems: Various MAP Estimators
Boers, YvoThales Nederland B. V.
Driessen, HansThales Nederland BV
Bagchi, ArunabhaUniv. of Twente
 

TuA2 Regular Session, Leonesia III

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Target Tracking I  
 
Chair: Bar-Shalom, YaakovUniv. of Connecticut
 

10:30-10:50, Paper TuA2.1

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Acoustic Inversion with Self Noise of an Autonomous Underwater Vehicle to Measure Sound Speed in Marine Sediments
van Leijen, VincentDefence Materiel Organisation
Rothkrantz, Leon J.M.Delft Univ. of Tech.
Groen, Frans C.A.Univ. of Amsterdam
 

10:50-11:10, Paper TuA2.2

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Monaural Sound-Source-Direction Estimation Using the Acoustic Transfer Function of an Active Microphone
Takashima, RyoichiKobe Univ.
Takiguchi, TetsuyaKobe Univ.
Ariki, YasuoKobe Univ.
 

11:10-11:30, Paper TuA2.3

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Toward Efficient Quality of Information Estimation in Simultaneous Acoustic Tracking and Classification of Multiple Targets
Damarla, ThyagarajuUS Army Res. Lab.
Thornley, DavidImperial Coll. Department of Computing
Gillies, DuncanImperial Coll.
Gentle, EdDSTL Land Battlespace Systems
 

11:30-11:50, Paper TuA2.4

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Target Tracking in Multi-Static Active Sonar Systems Using Dynamic Programming and Hough Transform
Eljaber, MohammadQueen's Univ.
Osman, AbdallaRoyal Military Coll.
Mellema, GarfieldDefence Res. and Development Canada
Noureldin, AboelmagdRoyal Military Coll. of Canada
 

11:50-12:10, Paper TuA2.5

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Feature-Aided Localization of Ground Vehicles Using Passive Acoustic Sensor Arrays
Ravindra, Vishal CholapadiUniv. of Connecticut
Bar-Shalom, YaakovUniv. of Connecticut
Damarla, ThyagarajuUS Army Res. Lab.
 

TuA3 Regular Session, Pricessa I

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Sensor Management  
 
Chair: Krishnamurthy, VikramUniv. of British Columbia
 

10:30-10:50, Paper TuA3.1

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Computing Maximal Track Clusters for Sensor Resource Management
Schneider, Michael KBAE Systems
 

10:50-11:10, Paper TuA3.2

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Geometric Factors in Target Positioning and Tracking
Yang, ChunSigtem Tech. Inc.
Blasch, ErikAFRL/RYAA
Kadar, IvanInterlink Systems Sciences Inc.
 

11:10-11:30, Paper TuA3.3

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Integrating Distributed Bayesian Inference and Reinforcement Learning for Sensor Management
Grappiolo, CorradoUniv. of Amsterdam
Whiteson, ShimonUniv. of Amsterdam
Pavlin, GregorThales Nederland BV
Bakker, BramUniv. of Amsterdam
 

11:30-11:50, Paper TuA3.4

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Distributed Greedy Sensor Scheduling for Model-Based Reconstruction of Space-Time Continuous Physical Phenomena
Huber, Marco F.Intelligent Sensor-Actuator-Systems Lab. Univ. Karl
Kuwertz, AchimUniv. Karlsruhe (TH)
Sawo, FelixUniv. Karlsruhe (TH)
Hanebeck, UweUniv. Karlsruhe
 

11:50-12:10, Paper TuA3.5

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Upper Bounds for the Sensor Subset Selection Problem
Ghassemi, FarhadUniv. of British Columbia
Krishnamurthy, VikramUniv. of British Columbia
 

TuA4 Regular Session, Pricessa II

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Sensor Networks I  
 
Chair: Nedich, AngeliaUniv. of Illinois at Urbana-Champaign
 

10:30-10:50, Paper TuA4.1

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Real-Time Common Awareness in Communication Constrained Sensor Systems
van Foeken, EelkeTNO Defence
Kester, LeonTNO, Defence, Security and Safety
Iersel, MirandaTNO Defence
 

10:50-11:10, Paper TuA4.2

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Cooperative Relative Localization Using Vehicle-To-Vehicle Communications (I)
Richter, EricChemnitz Univ. of Tech.
Obst, MarcusChemnitz Univ. of Tech.
Schubert, RobinChemnitz Univ. of Tech.
Wanielik, GerdChemnitz Univ. of Tech.
 

11:10-11:30, Paper TuA4.3

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Data Fusion Techniques for Auto Calibration in Wireless Sensor Networks
Takruri, MaenUniv. of Tech. Sydney
Challa, SubhashNational ICT Australia
Yunis, RamahUniv. of Tech. Sydney
 

11:30-11:50, Paper TuA4.4

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Multi-Hop Greedy Gossip with Eavesdropping (I)
Ustebay, DenizMcGill Univ.
Oreshkin, BorisMcGill Univ.
Coates, MarkMcGill Univ.
Rabbat, MichaelMcGill Univ.
 

11:50-12:10, Paper TuA4.5

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Distributed Consensus Over Network with Noisy Links (I)
Touri, BehrouzUniv. of Illinois at Urbana-Champaign
Nedic, AngeliaUniv. of Illinois at Urbana-Champaign
 

TuA5 Regular Session, Discovery

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Situation Awareness I  
 
Chair: Schubert, JohanSwedish Defence Res. Agency
 

10:30-10:50, Paper TuA5.1

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Analytic Network Process for Model Elicitation in Nation-Building Simulations
Zhang, YingUniv. at Buffalo (SUNY)
Nagi, RakeshUniv. at Buffalo (SUNY)
Sudit, MoisesUB/CUBRC
 

10:50-11:10, Paper TuA5.2

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Evaluation Methods for Distributed Multi-Platform Systems in Electronic Warfare and Information-Warfare Related Missions
Sambhoos, KedarCUBRC
Llinas, JamesUniv. at Buffalo
 

11:10-11:30, Paper TuA5.3

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Evaluation of a Workshop to Capture Knowledge from Subject Matter Experts in Maritime Surveillance
van Laere, JoeriUniv. of Skövde
Nilsson, MariaUniv. of Skövde
 

11:30-11:50, Paper TuA5.4

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Situation Assessment for a Centralised Intelligence Fusion Framework for Emergency Services
Stampouli, DafniEADS
Vincen, DanielEADS
Powell, GavinEADS
 

11:50-12:10, Paper TuA5.5

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Threat Assessment Using Context-Based Tracking in a Maritime Environment
George, JeminThe State Univ. of New York at Buffalo
Crassidis, John L.Univ. at Buffalo, State Univ. of New York
Singh, TarunrajState Univ. of New York at Buffalo
 

TuA6 Regular Session, Portland

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Classification I  
 
Chair: Varshney, PramodSyracuse Univ.
 

10:30-10:50, Paper TuA6.1

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Multi-View Fusion Based on Belief Functions for Seabed Recognition
Laanaya, HichamENSIETA
Martin, ArnaudEnsieta
 

10:50-11:10, Paper TuA6.2

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GMTI and IMINT Data Fusion for Multiple Target Tracking and Classification
Pannetier, BenjaminOnera
Dezert, JeanONERA - The French Aerospace Lab.
 

11:10-11:30, Paper TuA6.3

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Maximizing Expected Gain in Supervised Discrete Bayesian Classification When Fusing Binary Valued Features
Lynch, RobertNaval Undersea Warfare Center
Willett, PeterUniv. of Connecticut
 

11:30-11:50, Paper TuA6.4

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Fusion Technologies for Radar Target Classification Using Dempster-Shafer Rules in Littoral Environment
Kouemou, Guy LeonardEADS Deutschland GmbH
Opitz, FelixEADS Deutschland GmbH
Neumann, ChristophEADS Deutschland GmbH
 

11:50-12:10, Paper TuA6.5

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Fusing Similarities and Euclidean Features with Generative Classifiers
Cazzanti, LucaUniv. of Washington
Gupta, MayaUniv. of Washington
Srivastava, SantoshFred Hutchinson Cancer Res. Center
 

TuA7 Regular Session, Eliza Anderson

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Ontology-Based Reasoning  
 
Chair: Kokar, MieczyslawNortheastern Univ.
 

10:30-10:50, Paper TuA7.1

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Acoustic Vehicle Classification by Fusing with Semantic Annotation
Guo, BaofengUniv. of Southampton
Mark, NixonUniv. of Southampton
Damarla, ThyagarajuUS Army Res. Lab.
 

10:50-11:10, Paper TuA7.2

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Towards the Formal Representation of Temporal Aspects of Enemy/Threat Courses of Action
Matheus, ChristopherVIStology, Inc.
Ulicny, BrianVIStology, Inc.
Kokar, MieczyslawNortheastern Univ.
Powell, GeraldUS. Army RDECOM
 

11:10-11:30, Paper TuA7.3

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A Multi-Disciplinary Approach to High Level Fusion in Predictive Situational Awareness
Costa, Paulo CesarGeorge Mason Univ.
Chang, KuoChuGeorge Mason Univ.
Laskey, KathrynGeorge Mason Univ.
Carvalho, RommelGeorge Mason Univ.
 

11:30-11:50, Paper TuA7.4

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Process Refinement Using Biosensor Location Problem
Sambhoos, KedarCUBRC
Temel, MelihState Univ. of New York at Buffalo
Pan, FengState Univ. of New York at Buffalo
Sudit, MoisesUB/CUBRC
 

11:50-12:10, Paper TuA7.5

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Information Evaluation in Fusion Using Information Correlation
Nimier, VincentONERA
Cholvy, LaurenceONERA
 

TuB1 Regular Session, Leonesia I

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Particle Filters and Monte Carlo Methods II  
 
Chair: Morelande, Mark RichardThe Univ. of Melbourne
 

13:10-13:30, Paper TuB1.1

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Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect
Straka, OndrejUniv. of West Bohemia
Simandl, MiroslavUniv. of West Bohemia in Pilsen
Dunik, JindrichUniv. of West Bohemia
 

13:30-13:50, Paper TuB1.2

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Particle Based MAP State Estimation: A Comparison
Saha, SaikatUniv. of Twente
Boers, YvoThales Nederland B. V.
Driessen, HansThales Nederland BV
Mandal, Pranab KumarUniv. of Twente
Bagchi, ArunabhaUniv. of Twente
 

13:50-14:10, Paper TuB1.3

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Contour Extraction from Ultrasound Images Viewed As a Tracking Problem
Angelova, DonkaBulgarian Acad. of Sciences
Mihaylova, LyudmilaLancaster Univ.
 

14:10-14:30, Paper TuB1.4

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Joint Data Association Using Importance Sampling
Morelande, Mark RichardThe Univ. of Melbourne
 

TuB2 Regular Session, Leonesia III

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Target Tracking II  
 
Chair: Vo, Ba-NguUniv. of Melbourne
 

13:10-13:30, Paper TuB2.1

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Performance Evaluation of MHT and GM-CPHD in a Ground Target Tracking Scenario
Svensson, DanielChalmers Univ. of Tech.
Wintenby, JohannesSaab Microwave Systems
Svensson, LennartChalmers Univ. of Tech.
 

13:30-13:50, Paper TuB2.2

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PHD Intensity Filtering Is One Step of a MAP Estimation Algorithm for Positron Emission Tomography
Streit, RoyMetron
 

13:50-14:10, Paper TuB2.3

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Multitarget Tracking Algorithm - Joint IPDA and Gaussian Mixture PHD Filter
Chakravorty, RajibNational ICT Australia
Challa, SubhashNational ICT Australia
 

14:10-14:30, Paper TuB2.4

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Combining PMHT with Classifications to Perform SLAM
Cheung, BrianDSTO, Australia
Davey, SamuelDSTO, Australia
Gray, DouglasUniv. of Adelaide
 

14:30-14:50, Paper TuB2.5

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A Look at the PMHT
Crouse, DavidUniv. of Connecticut
Guerriero, MarcoUniv. of Connecticut
Willett, PeterUniv. of Connecticut
Streit, RoyMetron
Dunham, DarinVectraxx Inc.
 

TuB3 Regular Session, Pricessa I

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UAV Planning  
 
Chair: Li, X. RongUniv. of New Orleans
 

13:10-13:30, Paper TuB3.1

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A GOOGLE-Earth Based Test Bed for Structural Image-Based UAV Navigation
Michaelsen, EckartFGAN-FOM Forschungsinstitut für Optronik undMustererkennung
Jäger, KlausFGAN-FOM Forschungsinstitut für Optronik und Mustererkennung
 

13:30-13:50, Paper TuB3.2

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Co-Evolutionary Information Gathering for a Cooperative Unmanned Aerial Vehicle Team
Berger, JeanDefence R&D Canada - Valcartier
Jens, Happe MacDonald Dettwiler & Associates Ltd.
 

13:50-14:10, Paper TuB3.3

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Decentralized Geolocation and Optimal Path Planning Using Limited UAVs
Semper, SeanUniv. at Buffalo, State Univ. of New York
Crassidis, John L.Univ. at Buffalo, State Univ. of New York
 

14:10-14:30, Paper TuB3.4

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Tracking with UAV Using Tangent-Plus-Lyapunov Vector Field Guidance
Chen, HongdaIntelligent Automation Inc
Chang, KuoChuGeorge Mason Univ.
Agate, CraigToyon Res. Corp.
 

14:30-14:50, Paper TuB3.5

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Performance Analysis and Correlation Selection with Doppler Measurements
Yuan, XianghuiXi'an Jiaotong Univ.
Han, ChongzhaoXian Jiaotong Univ.
Duan, ZhanshengUniv. of New Orleans
 

TuB4 Regular Session, Pricessa II

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Sensor Networks II  
 
Chair: Rao, NageswaraOak Ridge National Lab.
 

13:10-13:30, Paper TuB4.1

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A Decentralized Gauss-Seidel Approach for In-Network Sparse Signal Recovery
Ling, QingMichigan Tech. Univ.
Tian, ZhiMichigan Tech. Univ.
 

13:30-13:50, Paper TuB4.2

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Average-Consensus with Switched Markovian Network Links
Topley, KevinUniv. of British Columbia
Krishnamurthy, VikramUniv. of British Columbia
Yin, GeorgeWayne State Univ.
 

13:50-14:10, Paper TuB4.3

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Estimation of Crowd Behavior Using Sensor Networks and Sensor Fusion
Andersson, MariaSwedish Defence Res. Agency
Rydell, JoakimSwedish Defence Res. Agency
Ahlberg, JörgenSwedish Defence Res. Agency
 

14:10-14:30, Paper TuB4.4

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Shooter Localization in Wireless Sensor Networks
Lindgren, DavidSwedish Defence Res. Agency
Gustafsson, FredrikLinkoping Univ.
Wilsson, OlofSwedish Defence Res. Agency
Habberstad, HansFOI
 

14:30-14:50, Paper TuB4.5

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Bi-Target Tracking within a Binary Sensor Network
Ickowicz, AdrienIRISA/CNRS
Le Cadre, Jean-PierreIRISA / CNRS Rennes
 

TuB5 Regular Session, Discovery

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Situation Awareness II  
 
Chair: Laskey, KathrynGeorge Mason Univ.
 

13:10-13:30, Paper TuB5.1

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Joint Threat Assessment with Asset Profiling and Entity Bayes Net
Lampinen, Timo PetriInst. DefSec
Ropponen, JanneInst. DefSec Oy
Laitinen, TommiFinnish Defence Forces
 

13:30-13:50, Paper TuB5.2

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System Prediction Combining State Estimation with an Evidential Influence Diagram
Schubert, JohanSwedish Defence Res. Agency
Svenson, PontusSwedish Defence Res. Agency
Mårtenson, ChristianSwedish Defence Res. Agency
 

13:50-14:10, Paper TuB5.3

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Signature-Based Activity Detection Based on Bayesian Networks Acquired from Expert Knowledge
Fooladvandi, FarzadSaab Microwave Systems
Brax, ChristofferUniv. of Skövde
 

14:10-14:30, Paper TuB5.4

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Intention Recognition for Partial-Order Plans Using Dynamic Bayesian Networks (I)
Krauthausen, PeterUniv. Karlsruhe (TH)
Hanebeck, UweUniv. Karlsruhe
 

14:30-14:50, Paper TuB5.5

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Incremental Graph Matching for Situation Awareness (I)
Stotz, AdamCUBRC
Nagi, RakeshUniv. at Buffalo (SUNY)
Sudit, MoisesUB/CUBRC
 

TuB6 Regular Session, Portland

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Classification II  
 
Chair: Gupta, MayaUniv. of Washington
 

13:10-13:30, Paper TuB6.1

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Fusion of Dimensionality Reduction Methods: A Case Study in Microarray Classification
Deegalla, SampathStockholm Univ.
Boström, HenrikUniv. of Skövde
 

13:30-13:50, Paper TuB6.2

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The ROC Manifold of Fused Independent Classification Systems
Oxley, MarkAir Force Inst. of Tech.
Thorsen, StevenUS Air Force Acad.
Schubert, ChristineVirginia Commonwealth Univ.
 

13:50-14:10, Paper TuB6.3

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Fusing Similarities and Kernels for Classification
Chen, YihuaUniv. of Washington
Gupta, MayaUniv. of Washington
 

14:10-14:30, Paper TuB6.4

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Embedded Realtime Feature Fusion Based on ANN, SVM and NBC
Starzacher, AndreasKlagenfurt Univ.
Rinner, BernhardKlagenfurt Univ.
 

14:30-14:50, Paper TuB6.5

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A Novel Feature Line Segment Approach for Pattern Classification
Yang, YiXi'an Jiaotong Univ.
Han, ChongzhaoXian Jiaotong Univ.
Han, DeqiangXi'an Jiaotong Univ.
 

TuB7 Regular Session, Eliza Anderson

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Belief Functions, Theory  
 
Chair: Martin, ArnaudEnsieta
 

13:10-13:30, Paper TuB7.1

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Belief Assignment on Compound Hypotheses within the Framework of the Transferable Belief Model
Veremme, AlexandreUniv. d'Artois
Lefevre, EricUniv. d'Artois
Dupont, DanielHEI
Mercier, DavidUniv. of Artois
 

13:30-13:50, Paper TuB7.2

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A State Estimation Method for Multiple Model Systems Using Belief Function Theory
Nassreddine, GhaliaUTC - Univ. de Tech. Compiegne
Abdallah, FahedUtc
Denoeux, ThierryCompiegne Univ. of Tech.
 

13:50-14:10, Paper TuB7.3

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Theory of Belief Functions for Information Combination and Update in Search and Rescue Operations
DorÉ, Pierre-EmmanuelENSIETA
Martin, ArnaudEnsieta
Abi-Zeid, IrèneFaculté des Science de l'Administration
Jousselme, Anne-LaureDRDC, Defence Res. and Development
Maupin, PatrickDRDC, Defence Res. and Development
 

14:10-14:30, Paper TuB7.4

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Dempster-Shafer Theory: Combination of Information Using Contextual Knowledge
Florea, Mihai CristianThales Canada Inc.
Bosse, EloiDefence R&D Canada-Valcartier
 

14:30-14:50, Paper TuB7.5

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Reliability and Combination Rule in the Theory of Belief Functions
Martin, ArnaudEnsieta
 

TuC1 Regular Session, Leonesia I

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Distributed Fusion I  
 
Chair: Chang, KuoChuGeorge Mason Univ.
 

15:20-15:40, Paper TuC1.1

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Exact Algorithms for Four Track-To-Track Fusion Configurations: All You Wanted to Know but Were Afraid to Ask
Tian, XinUniv. of Connecticut
Bar-Shalom, YaakovUniv. of Connecticut
 

15:40-16:00, Paper TuC1.2

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Decentralised Data Fusion: A Graphical Model Approach
Makarenko, AlexeiUniv. of Sydney
Brooks, AlexUniv. of Sydney
 

16:00-16:20, Paper TuC1.3

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Generalized Chernoff Fusion Approximation for Practical Distributed Data Fusion
Farrell, WilliamAdaptive Methods, Inc.
Ganesh, ChidambarNAVSEA
 

16:20-16:40, Paper TuC1.4

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Optimal Distributed Estimation Fusion with Compressed Data
Duan, ZhanshengUniv. of New Orleans
Li, X. RongUniv. of New Orleans
 

16:40-17:00, Paper TuC1.5

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A Fast and Fault-Tolerant Convex Combination Fusion Algorithm under Unknown Cross-Correlation
Wang, YiminXi’an Jiaotong Univ.
Li, X. RongUniv. of New Orleans
 

TuC2 Regular Session, Leonesia III

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Target Tracking III  
 
Chair: Kirubarajan, ThiaMcMaster Univ.
 

15:20-15:40, Paper TuC2.1

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Gaussian Filtering Using State Decomposition Methods
Beutler, FrederikUniv. Karlsruhe (TH)
Huber, Marco F.Intelligent Sensor-Actuator-Systems Lab. Univ. Karl
Hanebeck, UweUniv. Karlsruhe
 

15:40-16:00, Paper TuC2.2

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Extension of the Sliced Gaussian Mixture Filter with Application to Cooperative Passive Target Tracking
Hoerst, JulianUniv. Karlsruhe (TH)
Sawo, FelixUniv. Karlsruhe (TH)
Klumpp, VesaUniv. Karlsruhe (TH)
Hanebeck, UweUniv. Karlsruhe
Fraenken, DietrichEADS Deutschland GmbH
 

16:00-16:20, Paper TuC2.3

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Multitarget Tracking Using the Joint Multitrack Probability Density
Garcia-Fernandez, Angel F.Univ. Pol. de Madrid
Grajal, JesusTech. Univ. of Madrid
 

16:20-16:40, Paper TuC2.4

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A Scalable Method of Tracking Targets with Dependent Distributions
Horridge, PaulQinetiQ
Maskell, SimonQinetiQ
 

16:40-17:00, Paper TuC2.5

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Searching For, Initiating and Tracking Multiple Targets Using Existence Probabilities
Horridge, PaulQinetiQ
Maskell, SimonQinetiQ
 

TuC3 Regular Session, Pricessa I

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Detection and Tracking  
 
Chair: Willett, PeterUniv. of Connecticut
 

15:20-15:40, Paper TuC3.1

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Track-Before-Detect for Sensors with Complex Measurements
Davey, SamuelDSTO, Australia
Cheung, BrianDefence Science and Tech. Organisation
Rutten, MarkDSTO
 

15:40-16:00, Paper TuC3.2

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Non-Parametric Laser and Video Data Fusion: Application to Pedestrian Detection in Urban Environment
Gidel, SamuelBlaise Pascal Univ.
Blanc, ChristopheUBP
Chateau, ThierryLasmea
Checchin, PaulBlaise Pascal Univ.
Tassoudaine, LaurentUniv. of Clermont-Ferrand
 

16:00-16:20, Paper TuC3.3

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Improved SPRT Detection Using Localization with Application to Radiation Sources
Rao, NageswaraOak Ridge National Lab.
Glover, CharlesOak Ridge National Lab.
Shankar, MallikarjunOak Ridge National Lab.
Chin, Jren-ChitPurdue Univ.
Yau, DavidPurdue Univ.
Ma, ChrisPurdue Univ.
Yang, YongUniv. of Illinois at Urbana Champaign
Sahni, SartajUniv. of Florida
 

16:20-16:40, Paper TuC3.4

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Sequential Bayesian Estimation of the Probability of Detection for Tracking
Jamieson, KevinUniv. of Washington
Gupta, MayaUniv. of Washington
Krout, DavidApplied Physics Lab. Univ. of Washington
 

16:40-17:00, Paper TuC3.5

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Adaptive Target Tracking for Wideband Sources in Near Field
Chang, LenaNational Taiwan Ocean Univ.
Cheng, Ching-MinNational Taiwan Ocean Univ.
 

TuC4 Regular Session, Pricessa II

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Sensor Networks III  
 
Chair: Cetin, MujdatSabanci Univ.
 

15:20-15:40, Paper TuC4.1

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Dynamic Clustering and Belief Propagation for Distributed Inference in Random Sensor Networks with Deficient Links
Amadou Gning, El HadjiLancaster Univ.
Mihaylova, LyudmilaLancaster Univ.
 

15:40-16:00, Paper TuC4.2

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Cooperative Training for Attribute-Distributed Data: Trade-Off between Data Transmission and Performance
Zheng, HaipengPrinceton Univ.
Kulkarni, Sanjeev R.Princeton Univ.
Poor, H. VincentPrinceton Univ.
 

16:00-16:20, Paper TuC4.3

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Dynamic Coalition Formation for Efficient Sleep Time Allocation in Wireless Sensor Networks Using Cooperative Game Theory
Namvar Gharehshiran, OmidUniv. of British Columbia
Krishnamurthy, VikramUniv. of British Columbia
 

16:20-16:40, Paper TuC4.4

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Fusing Spatially and Temporally Separated Single-Point Turbulent Plasma Flow Measurements into Two-Dimensional Time-Resolved Visualizations
Lobbia, Robert B.The Univ. of Michigan
Gallimore, AlecUniv. of Michigan
 

16:40-17:00, Paper TuC4.5

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A Maximum Likelihood Approach to Joint Registration, Association and Fusion for Multi-Sensor Multi-Target Tracking
Chen, SiyueUniv. of Calgary
Leung, HenryUniv. of Calgary
Bosse, EloiDefence R&D Canada-Valcartier
 

TuC5 Regular Session, Discovery

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Situation Awareness III  
 
Chair: Jakobson, GabrielAltusys Corp.
 

15:20-15:40, Paper TuC5.1

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An Ensemble Approach for Increased Anomaly Detection Performance in Video Surveillance Data
Brax, ChristofferUniv. of Skövde
Niklasson, LarsUniv. of Skövde
Laxhammar, RikardSaab AB & Univ. of Skövde, Sweden
 

15:40-16:00, Paper TuC5.2

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Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
Terejanu, Gabriel AlinUniv. at Buffalo
Singla, PuneetUniv. at Buffalo
Singh, TarunrajState Univ. of New York at Buffalo
Scott, PeterUniv. at Buffalo
 

16:00-16:20, Paper TuC5.3

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Uncertainty Propagation in Puff-Based Dispersion Models Using Polynomial Chaos
Konda, UmamaheswaraUniv. at Buffalo
Singh, TarunrajState Univ. of New York at Buffalo
Singla, PuneetUniv. at Buffalo
Scott, PeterUniv. at Buffalo
 

16:20-16:40, Paper TuC5.4

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Solving Disagreements in a Multi-Agent System Performing Situation Assessment
Settembre, Giuseppe Paolo"Sapienza" Univ. of Rome
Farinelli, AlessandroUniv. of Verona
Nardi, DanieleUniv. "Sapienza" of Rome
Pigliacampo, RobertaFinmeccanica
Rossi, MircoFinmeccanica
 

16:40-17:00, Paper TuC5.5

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Context-Sensitive Data Fusion Using Structural Equation Modeling
Steinberg, AlanAlan N. Steinberg, Independent Consultant
 

TuC6 Regular Session, Portland

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Anomaly Detection  
 
Chair: Jilkov, VesselinUniv. of New Orleans
 

15:20-15:40, Paper TuC6.1

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Fault Detection for Systems with Multiple Unknown Modes and Similar Units - Part I
Bashi, AnwerComputrols, Inc.
Jilkov, VesselinUniv. of New Orleans
Li, X. RongUniv. of New Orleans
 

15:40-16:00, Paper TuC6.2

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Fault Detection for Systems with Multiple Unknown Modes and Similar Units - Part II: Application to HVAC
Bashi, AnwerComputrols, Inc.
Jilkov, VesselinUniv. of New Orleans
Li, X. RongUniv. of New Orleans
 

16:00-16:20, Paper TuC6.3

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Real World Implementation of Belief Function Theory to Detect Dislocation of Materials in Construction
Razavi, SaiedehUniv. of Waterloo
Haas, CarlUniv. of Waterloo
Vanheeghe, PhilippeEc. Centrale de Lille
Duflos, EmmanuelEc. Centrale de Lille
 

16:20-16:40, Paper TuC6.4

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Anomaly Detection in Sea Traffic - a Comparison of the Gaussian Mixture Model and the Kernel Density Estimator
Laxhammar, RikardSaab AB & Univ. of Skövde, Sweden
Falkman, GöranUniv. of Skövde
Sviestins, EgilsSaab AB
 

16:40-17:00, Paper TuC6.5

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Information Fusion Based Decision Support Via Hidden Markov Models and Time Series Anomaly Detection
Barker, Jonathan EdwardDstl
Green, Richard JohnDstl
Thomas, PaulUK Ministry of Defence
Brown, GavinDstl
Salmond, DavidDSTL
 

TuC7 Panel Discussion,

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Issues and Challenges in Higher Level Fusion: Threat/Impact Assessment  
 
Chair: Salerno, JohnRIEA
Co-Chair: Kadar, IvanInterlink Systems Sciences Inc.
 

15:00-17:40, Paper TuC7.1

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Issues and Challenges in Higher Level Fusion: Threat/Impact Assessment
Kadar, IvanInterlink Systems Sciences Inc.
Salerno, JohnRIEA