Program in table view

Fusion15 Tech Plan		Room 1	Room 2	Room 3	Room 4	Room 5	Room 6	Room 7	Room 8	Room 9
		Monday	July 6	2015
0700-0800	Registration
0800-1200	Morning Tutorials	Erik Blasch	Subrata Das	Thia Kirubarajan	Ronald Mahler	Stone, Streit, Bell	Galina Rogova
	6 concurrent tutorials	Overview of High-Level Information Fusion Theory, Models, and Representations	Big Data Fusion and Analytics	Multisensor-Multitarget Tracker Development and Performance Evaluation for Realistic Scenarios	Advances in Statistical Multisource-Multitarget Information Fusion	Bayesian Multiple Target Tracking	Information Quality in Human-Machine Integrated Environment
1200-1300	Lunch
1300-1700	Afternoon Tutorials	Audun Jøsang	Eric Little	Yaakov Bar-Shalom	Ba-Tuong Vo	Mahendra Mallick	Felix Govaers
	6 concurrent tutorials	Fusion and Belief Reasoning with Subjective Logic	Applications of Scalable Semantic Technologies and Ontologies for Enhanced Higher Level Fusion	Multitarget Tracking and Multisensor Information Fusion	Implementations of random-finite-set-based multi-target filters	Space Surveillance and Space Object Tracking	An Introduction to the Distributed Kalman Filter and Track-to-Track Fusion
42192	Tuesday
0830 - 0930	Plenary Talk 1	Independence Ballroom	Moshe Kam
0930 - 1000	Coffee Break
1000 - 1200	Session 1	8 - 10 concurrent sessions – 5 papers per session
	Chair	Al Hero	Pieter De Villiers	Lyudmila Mihaylova	James Ferry	Ba-Tuong Vo	Ron Mahler	Joseph T. Bernardo	Garfield Mellema
	Session Name	Special Session: Large Scale Value-Centered Data Fusion	Special Session: ETURWG – Part 1	Special Session: Sequential Monte Carlo Methods for Complex Systems	Special Session: Real-World Problems with Network Abstractions	Special Session: Sensor, Resources and Process Management for Information Fusion Systems	Random sets and processes	Fusion Enabled Decision Support	Special Session: MSTWG – Part 1
	Paper 1	Efficient Information Planning in Gaussian MRFs	Dissecting Uncertainty-Based Fusion Techniques for Maritime Anomaly Detection	Improvements in the Implementation of Log-Homotopy Based Particle Flow Filters	A Bayesian Idealization of Entity Resolution	A Multiobjective Optimization Approach for Adaptive Binary Quantizer Design for Target Tracking in Wireless Sensor Networks	Distributed Multi-Target Tracking Via Generalized Multi-Bernoulli Random Finite Sets	Cognitive and Functional Frameworks for Hard/Soft Fusion for the Condition Monitoring of Aircraft	Multi-Target Tracking for Multistatic Sonobuoy Systems
	Paper 2	Boosting Crowdsourcing with Expert Labels: Local Vs. Global Effects	A Critical Assessment of Two Methods for Heterogeneous Information Fusion	Langevin Monte Carlo Filtering for Target Tracking	Multiscale Network Generation	Improving ORM Utilizing Implicit Collaboration & Context Sensitive Fusion	Joint Multi-Bernoulli RFS for Two-target Scenario	Dynamic Resource Management and Information Integration for Proactive Decision Support and Planning	Sensor Selection From Independence Graphs Using Submodularity
	Paper 3	OptFuse: Low-rank Factor Estimation by Optimal Data-Driven Linear Fusion of Multiple Signal-Plus-Noise Matrices	Uncertainty Representation, Quantification and Evaluation for Data and Information Fusion	A New Nonlinear State Estimator Using the Fusion of Multiple Extended Kalman Filters	Utilizing Covariates in Partially Observed Networks	Sparsity Promoting Sensor Management for Estimation: An Energy Balance Point of View	A Fast Implementation of the Generalized Labeled multi-Bernoulli Filter with Joint Prediction and Update	A Revised Method for Ranking Generalized Fuzzy Numbers	The GFMT HPMHT Puzzle
	Paper 4	Distributed Sensing for Quickest Change Detection of Point Radiation Sources	URREF for Veracity Assessment in Query-Based Information Fusion Systems	Joint Antenna and Propagation Model Parameter Estimation Using RSS Measurements	Detectability Analysis of Detection and Estimation of Structured Action From Cluttered Data	Dynamic, Distributed Sensor Scheduling and Value of Information	The Cardinalized Optimal Linear Assignment (COLA) Metric for Robotic Map Evaluation	Correlation Coefficient Based Template Matching: Accounting for Uncertainty in Selecting the Winner	Generalizations to the Track-Oriented MHT Recursion
	Paper 5	Adaptive Search for Multi-class Targets with Heterogeneous Importance	Gradual and Binary Conflicts in Bayesian Networks Applied to Sensor Failure Detection	Tracking of Wireless Mobile Nodes in the Presence of Unknown Path-loss Characteristics	Hidden Network Reconstruction From Information Diffusion	Stochastic Nonlinear Model Predictive Control Based on Deterministic Scenario Generation	Tracking Targets with Pairwise-Markov Dynamics	Towards Subjective Networks: Extending Conditional Reasoning in Subjective Logic	Parameter Estimation for Multistatic Active Sonar Using Extended Fixed Points
1200 - 1300	Lunch
1300 - 1500	Session 2	8 - 10 concurrent sessions – 5 Papers per session
	Chair	Robert Lynch	Max Kruger	Hans Driessen	Tien Pham	X. Rong Li	Daniel Clark	Geeth de Mel	Jason Aughenbaugh
	Session Name	Applications of data fusion	Uncertainty management and reasoning	Special Session: Sequential Monte Carlo Methods for Complex Systems	Special Session: Real-World Problems with Network Abstractions	Sensor and fusion process management including performance evaluation	Target detection and localization; Estimation and filtering; Object tracking	Special Session: Trust in Fused Information	MSTWG – Part 2
	Paper 1	Adaptive Filtering of Imprecisely Time-stamped Measurements with Application to AIS Networks	Solving Conflicts in Database Fusion with Bayesian Networks	Monte Carlo Based Distance Dependent Chinese Restaurant Process for Segmentation of 3D LIDAR Data Using Motion and Spatial Features	Advances in Network Sciences Via Collaborative Multi-Disciplinary Research	Threat-based Sensor Management for Joint Target Tracking and Classification	Target Motion Analysis by Inverse Triangulation	ComTrustO: Composite Trust-based Ontology Framework for Information and Decision Fusion	Bayesian Broadband Passive Sonar Tracking
	Paper 2	Joint Radar Alignment and Odometry Calibration	A Real Z-box Experiment for Testing Zadeh's Example	An Evaluation of Monte Carlo for Nonlinear Initial Uncertainty Propagation in Keplerian Mechanics	Adaptive Dynamics, Control, and Extinction in Networked Populations	Non-Parametric Consistency Test for Multiple-Sensing-Modality Data Fusion	Bernoulli Filter with Linear Equality Constraints	Trust Revision for Conflicting Sources	Bayesian Passive Sonar Tracking with Conventional Beamformer-Level Data
	Paper 3	Learning Under Uncertainty for Interpreting the Pattern of Volcanic Eruptions	Evidential Relational Clustering Using Medoids	An Expectation Maximisation Algorithm for Behaviour Analysis in Video	RDF Versus Attributed Graphs: The War for the Best Graph Representation	Mock-Measurement Based Performance Evaluation of Inertial Navigation	Doppler-Only Tracking Under a Minimum Detectable Velocity Constraint	FUSE-BEE: Fusion of Subjective Opinions Through Behavior Estimation	Multistatic Tracking Experiment with a WiFiRAD Passive Radar
	Paper 4	New Algorithms for Daylight Harvesting in a Private Office	Active Data Collection for Inadequate Models	How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking?	A Network Science Approach to Open Source Data Fusion and Analytics for Disaster Response	Artificial Neural Networks for Estimation and Fusion in Long-Haul Sensor Networks	Terminative Joint Sequential Object Detection and Tracking Based on Fused Test Statistics	Multimodal Fusion Approach to Improving Quality of Information in Tactical Networks	Configuration Selection for Fusion of Range-Only Measurements From Multistatic Radars for Air Collision Warning
	Paper 5	Fault Detection and Exclusion of Cycle Slips for Carrier-Phase in GNSS Positionning		Data Fusion for Unsupervised Video Object Detection, Tracking and Geo-Positioning		Accuracy and Consistency in Estimation and Fusion Over Long-Haul Sensor Networks	A Comparison of Tracking Algorithms for Supermaneuverable Targets	Crowdsourcing with Multi-Dimensional Trust
1530 - 1710	Session 3	8 - 10 concurrent sessions – 4 Papers per session
	Chair		Paulo Costa	Subrata Das	James Ferry	Ruixin Niu	Peter Willett	Lance Kaplan	Garfield Mellema	Joachim Biermann
	Session Name			Big Data fusion		Sensor and fusion process management including performance evaluation	Target detection and localization	Special Session: Trust in Fused Information	MSTWG – Part 3
	Paper 1		ETUR Working Group meeting	Secure and Resilient Distributed Machine Learning Under Adversarial Environments	Real world problems for Networking Panel	Censoring in Distributed Radar Tracking Systems with Various Feedback Models	Divide and Hough Transform Method for Fast Track Initiation in Dense Clutters	Trust Metric Integration in Resource Constrained Networks Via Data Fusion	Multistatic Tracking Working Group meeting	NATO STO Task Group IST-132
	Paper 2			Fusing Social Network Data with Hard Data		Statistical Evaluation of Information Source Performance	A Fault-tolerance Detection Formulation for Distributed Multisensor Systems	Semiring-Based Trust Evaluation for Information Fusion in Social Network Services
	Paper 3			Temporal and Multi-Source Fusion for Detection of Innovation in Collaboration Networks		New Trends in Radio Network Positioning	Data Fusion with ML-PMHT for Very Low SNR Track Detection in an OTHR	On the Quality Estimation of Optimal Multiple Criteria Data Association Solutions
	Paper 4			Distributed Big Data Search for Analyst Queries and Data Fusion		A Method for Evaluating Joint Tracking and Classification Performance	Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization	Optimal Fusion Rules for Label Fusion of Dependent Classification Systems
1740-1800	Buses leave
1800	Reception
42193	Wednesday
0830 - 0930	Plenary Talk 2	Independence Ballroom	Colleen Keller
0930 - 1000	Coffee Break
1000 - 1200	Session 4	8 - 10 concurrent sessions – 5 papers per session
	Chair	Gerhard Kurz	M. Dolores Ruiz	Juan Manuel Corchado	Benjamin Noack	Galya Rogova	Michael Beard	Marcus Baum	Antonio Zea
	Session Name	Special Session: Directional Estimation	Data mining and machine learning in data fusion	Special Session: Intelligent Information Fusion	Special Session: Advances in Distributed Kalman Filtering	Ontologies, graphs, and semantic reasoning for high level fusion	Sensor management	Special Session: Extended Object and Group Tracking	Special Session: Data Fusion Methods for Indoor Localization of People and Objects
	Paper 1	Heart Phase Estimation Using Directional Statistics for Robotic Beating Heart Surgery	Fast Imbalanced Classification of Healthcare Data with Missing Values	Fusion of Sentiment Analysis and Emotion Recognition to Model the User's Emotional State	Track Association Using Augmented State Estimates	Discover Trending Domains Using Fusion of Supervised Machine Learning with Natural Language Processing	Sensor Selection Fusion Based on the Cross Entropy Optimization	Probabilistic Data Association for Tracking Extended Targets Under Clutter Using Random Matrices	Particle Filtering for Positioning Based on Proximity Reports
	Paper 2	Multimodal Circular Filtering Using Fourier Series	Online Sparse Gaussian Process Regression for Trajectory Modeling	Improving Scene Classification by Fusion of Training Data and Web Resources	Comparison of Augmented State Track Fusion Methods for Non-full-rate Communication	Use of Background Knowledge in Natural Language Understanding for Information Fusion	A State Estimation and Malicious Attack Game in Multi-Sensor Dynamic Systems	A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation	Improving Indoor Localization by User Feedback
	Paper 3	Statistical Estimation and Clustering of Group-invariant Orientation Parameters	Troll Detection by Domain-Adapting Sentiment Analysis	Multi-source Data Clustering	Chernoff Fusion of Gaussian Mixtures for Distributed Maneuvering Target Tracking	Consensus: a Comprehensive Solution to the Grand Challenges of Information Fusion	Sensor Control for Multi-target Tracking Using Cauchy-Schwarz Divergence	Converted Measurements Random Matrix Approach to Extended Target Tracking Using X-band Marine Radar Data	Proximity Report Triggering Threshold Optimization for Network-Based Indoor Positioning
	Paper 4	Non-Identity Measurement Models for Orientation Estimation Based on Directional Statistics	Fuzzy Meta-Association Rules for Information Fusion	On the Use and Misuse of Bayes Filters	Approximation of Powers of Gaussian Mixtures	Hidden Relationships Discovery Through High-Level Information Fusion	Scheduling Multifunction Radar for Search and Tracking	The Sequence Monte Carlo Multi-Bernoulli Filter for Extended Targets	Environment Perception Using Grid Occupancy Estimation with Belief Functions
	Paper 5	Cyclic Bayesian Bounds for Filtering in Periodic State Space	Variational Inference for Graphical Models of Multivariate Piecewise-Stationary Time Series	A Unified Approach for Domain-Specific Tweet Sentiment Analysis	The Exact Algorithm for Multi-sensor Asynchronous Track-to-Track Fusion	Scalable Uncertainty Treatment Using Triple Stores and the OWL 2 RL Profile	Learned Ultra-Wideband RADAR Sensor Model for Augmented LIDAR-based Traversability Mapping in Vegetated Environments	A Generalised Labelled Multi-Bernoulli Filter for Extended Multi-target Tracking	Dynamic-Occlusion Likelihood Incorporation in a PHD Filter Based Range-Only Tracking System
1200 - 1300	Lunch
1300 - 1500	Session 5	8 - 10 concurrent sessions – 5 Papers per session
	Chair	Uwe Hanebeck	Satish Iyengar	Jesus Garcia	Felix Govaers	Kathryn Laskey	Kyle DeMars	Wolfgang Koch
	Session Name	Special Session: Directional Estimation	Data mining and machine learning in data fusion (CAT)	Special Session: Context-based Information Fusion	Distributed/decentralized fusion	Situation representation and estimation	Special Session: Space Object Detection, Tracking, Identification, and Classification	Special Session: Extended Object and Group Tracking	Image fusion and video tracking
	Paper 1	Performance of Maximum Likelihood Estimation for Multipath TDOA Passive Ranging	Generic Object Recognition Based on the Fusion of 2D and 3D SIFT Descriptors	A Proposal for Improving Spoken Dialog Systems Using Context Information Fusion	Distributed Particle Filtering Via Optimal Fusion of Gaussian Mixtures	Unified Traffic Situation Estimation Model with Application in Longitudinal Vehicle State and Route Prediction	Relative Multiple Space Object Tracking Using Intensity Filters	An Extended Target Tracking Model with Multiple Random Matrices and Unified Kinematics	Adaptive Relevance Feedback for Fusion of Text and Visual Features
	Paper 2	Bayesian Filtering for Orientational Distributions: A Fourier Approach	A Novel Approach for Trajectory Feature Representation and Anomalous Trajectory Detection	Context Driven Tracking Using Particle Filters	Cooperative Terrain Based Navigation and Coverage Identification Using Consensus	A Predictive Situation Awareness System Using Multi-Entity Bayesian Networks	Gaussian Mixture Multiple-Model Multi-Bernoulli Filters for Nonlinear Models Via Unscented Transform Techniques	Maritime Group Motion Analysis: Representation, Learning, Recognition, and Deviation Detection	Tracking of Dolphins in a Basin Using a Constrained Motion Model
	Paper 3	Track Before Detect DOA Tracking of Extended Targets with Marked Poisson Point Processes	Anomaly Detection in Maritime Data Based on Geometrical Analysis of Trajectories	Context-Based Ground Target Tracking - An Integrated Approach	On Threshold Optimization for Aircraft Conflict Detection	Air Traffic Monitoring Using Datastream Analysis Techniques	Joint Estimation of Target State and Ionosphere State for OTHR Based Tracking	Partial Likelihood for Unbiased Extended Object Tracking	Combining Passive Visual Cameras and Active IMU Sensors to Track Cooperative People
	Paper 4	Direction of Arrival Estimation in Sensor Arrays Using Local Series Expansion of the Received Signal	Evidential Multinomial Logistic Regression for Multiclass Classifier Calibration	Adaptive Sensor Fusion Architecture Through Ontology Modeling and Automatic Reasoning	A Hybrid Prediction Method and Its Application in the Distributed Low-cost INS/GPS Integrated Navigation System	Framework for Situation Assessment and Threat Evaluation with Application to an Air Defense Scenario	Challenges of Multi-Target Tracking for Space Situational Awareness	Exploiting Clutter: Negative Information for Enhanced Extended Object Tracking	Improved Multi-Focus Image Fusion
	Paper 5	Direct Single Sensor TDOA Localization Using Signal Structure Information	Ship Movement Anomaly Detection Using Specialized Distance Measures	Data-driven Detection and Context-based Classification of Maritime Anomalies	On Track-to-Track Data Association for Automotive Sensor Fusion	Vessel Trajectory Partitioning Based on Hierarchical Fusion of Position Data	Information Weighted Consensus-based Cooperative Space Object Tracking to Overcome Malfunctioned Sensors and Noisy Links	GPU-Accelerated Progressive Gaussian Filtering with Applications to Extended Object Tracking	Labeled Multi-Bernoulli Track-Before-Detect for Multi-Target Tracking in Video
1530 - 1710	Session 6	8 - 10 concurrent sessions – 4 Papers per session
	Chair	Ba-Ngu Vo	Michael Lexa	Lauro Snidaro	Johan Wahlström	Nageswara Rao	Brandon Jones	Todd Martin		Kellyn Rien
	Session Name	Special Session: Averaging Measures: Wasserstein Barycenters, MMOSPA	Special Session: Change, Anomaly, and Trend (CAT) Detection in Challenging Environments	Special Session: Context-based Information Fusion	Applications of data fusion (Automotive)	Situation and threat assessment	Special Session: Space Object Detection, Tracking, Identification, and Classification	Uncertainty management and reasoning: Estimation
	Paper 1	Average Kullback-Leibler Divergence for Random Finite Sets	Change Detection with an Unknown Sensor Subset: More Information is Not Always Better	A Framework for Dynamic Context Exploitation	Probabilistic GNSS Signal Tracking for Safety Relevant Automotive Applications	Distributed Belief Propagation for Situation Assessment in Net-Centric Environment	On Mutual Information for Observation-to-Observation Association	Development and Analysis of a Probabilistic Reasoning Methodology for Spectrum Situational Awareness and Parameter Estimation in Uncertain Environments		NATO STO Task Group IST-132
	Paper 2	Association-Free Direct Filtering of Multi-Target Random Finite Sets with Set Distance Measures	Dynamic Data-driven Symbolic Causal Modeling for Battery Performance & Health Monitoring	Situation/Threat Context Assessment	Data-driven Simulation and Parametrization of Traffic Scenarios for the Development of Advanced Driver Assistance Systems	On Resilience of Cyber-Physical Infrastructures Using Discrete Product-Form Games	Automated State and Dynamics Estimation in Dynamically Mismodeled Systems with Information From Optimal Control Policies	Nonlinear Bayesian Filtering Based on Fokker Planck Equation and Tensor Decomposition
	Paper 3	OSPA Barycenters for Clustering Set-Valued Data	Detecting Trend in Randomly Switched Measurements	Artifact "Metaphors": Gaining Capability Using "Wrong" Tools	Target Detection Using GPS Signals of Opportunity	A Situation Assessment Framework for Cyber Security Information Relevance Reasoning	A Randomized Sampling Based Approach to Multi-Object Tracking	Adaptive Lower Bounds for Gaussian Measures of Polytopes
	Paper 4	MMOSPA-based Direction-of-Arrival Tracking with a Passive Sonar Array - An Experimental Study	Identifying Anomalous Objects in SAS Imagery Using Uncertainty		IMU Alignment for Smartphone-based Automotive Navigation	A Graph-Based Evidence Theory for Assessing Risk	Reasoning on Resident Space Object Hierarchies Using Probabilistic Programming	Large-Scale, Discrete IP Geolocation Via Multi-Factor Evidence Fusion Using Factor Graphs
1710		Event	Event
42194	Thursday
0830 - 0930	Plenary Talk 3	Independence Ballroom	Edward T. Cope
0930 - 1000	Coffee Break
1000 - 1200	Session 4	8 - 10 concurrent sessions – 5 papers per session
	Chair	Simon Julier	David F Crouse	Yi Chen	Fred Daum	Christopher Kreucher	Pedro A. Forero	Steven Schoenecker
	Session Name	Registration	Estimation and filtering; Object tracking	Signal processing and computer vision	Special Session: Homotopy Methods for Progressive Bayesian Estimation	Particle filters and Monte Carlo methods	Applications of data fusion (Nav)	Target Classification; Target detection and localization; Object tracking
	Paper 1	Navigation with SAR and 3D-Map Aiding	Filter Initialization and Batch Estimation for Tracking with Angular-Only Measurements	DOA Estimation Based on the Microphone Array for the Time-varying Number of Sound Signals	Renormalization Group Flow in K-Space for Nonlinear Filters, Bayesian Decisions and Transport	A Laplace-based Particle Filter for Track-Before-Detect	Detecting Malicious ADS-B Transmitters Using a Low-Bandwidth Sensor Network	Can This Target Be Tracked?
	Paper 2	Bernoulli Filtering From a Single Platform	Cubature/ Unscented/ Sigma Point Kalman Filtering with Angular Measurement Models	Camera Geolocation From Mountain Images	Gaussian-Mixture Based Ensemble Kalman Filter	Non-Line-of-Sight Mitigation for Reliable Urban GNSS Vehicle Localization Using a Particle Filter	Passive Tracking of Underwater Acoustic Sources with Sparse Innovations	Joint Multi-Target Detection and Tracking Using Conditional Joint Decision and Estimation with OSPA-alike Cost
	Paper 3	Recursive Joint Track-to-Track Association and Sensor Nonlinear Bias Estimation Based on Generalized Bayes Risk	A Computationally Efficient Dynamic Programming Based Track-Before-Detect	Distributed Classification Under Statistical Dependence with Application to Automatic Modulation Classification	Feedback Particle Filter: Application and Evaluation	Comparison of Filtering Algorithms for Ground Target Tracking Using Space-based GMTI Radar	An Efficient Algorithm for Aircraft Conflict Detection and Resolution Using List Viterbi Algorithm	Joint Tracking and Classification Based on Kinematic and Target Extent Measurements
	Paper 4	Gauge-invariant Registration in Networks	The Kalman Laplace Filter: A New Deterministic Algorithm for Nonlinear Bayesian Filtering	Fusion of Trackers on Thermal Image Sequences	Multi-Sensor Fusion Using Homotopy Particle Filter	Saddle Point Method for JPDA and Related Filters	A Mobile Acoustic Sensor Fusion Network Using Biologically Inspired Sensors and Synchronization	Individuals Motion Models Based on Probabilistic Distribution Profiles
	Paper 5	RoughCough - A New Image Registration Method for Radar Based Vehicle Self-Localization	The Multiple Model Labeled Multi-Bernoulli Filter	Multiple-Model Hypothesis Testing Using Adaptive Representative Model	Comparison of Angle-only Filtering Algorithms in 3D Using EKF, UKF, PF, PFF, and Ensemble KF	Incorporating Estimated Feature Descriptor Information Into Rao Blackwellized-PHD-SLAM	Indoor Localization with a Signal Tree	Joint Tracking and Classification Based on Conditional Joint Decision and Estimation
1200 - 1300	Lunch
1300 - 1500	Session 5	8 - 10 concurrent sessions – 5 Papers per session
	Chair	Yaakov Bar-Shalom	Ondrej Straka	KC Chang	Frederica Darema	Dave Hall	Sean Martin			Wolfgang Koch
	Session Name	Data association; Estimation	Estimation and filtering	Special Session: Applications of Data Fusion and Predictive Analytics to Finance, Business, and Marketing	Special Session: Dynamic Data Driven Application Systems for Sensor Data Problems	Special Session: Multi-Level Fusion: bridging the gap between high and low level fusion	Target Classification
	Paper 1	Spatial Clutter Measurement Density Estimation in Nonhomogeneous Measurement Spaces	Bearings-Only Tracking with Fusion From Heterogenous Passive Sensors: ESM/EO and Acoustic	Business Data Fusion	A Learning Drift Homotopy Particle Filter	Modeling the User's Intention by Means of the Fusion of Several User Models	Fuzzy Extreme Learning Machine and Its Applications			NATO STO Task Group IST-132
	Paper 2	Scalable Multitarget Tracking Using Multiple Sensors: A Belief Propagation Approach	Estimation of State and Measurement Noise Characteristics	Online Playtime Prediction for Cognitive Video Streaming	Multiway Histogram Intersection for Multi-target Tracking	Building a "living Database" for Human-Machine Intelligence Analysis	Classification of Incomplete Pattern Based on Fusion of Belief Functions
	Paper 3	Adaptive Kernel Background Intensity Estimation Based on Local 2D Orientation	Design of Discrete Second Order Filters for Continuous-Discrete Models	Combinatorial Prediction Markets for Fusing Information From Distributed Experts and Models	Nonlinear Target Tracking for Threat Detection Using RSSI and Optical Fusion	Levels?	Risk-Based Sensor Resource Management for Field of View Constrained Sensors
	Paper 4	A Survey on Joint Tracking Using EM Based Techniques	Adaptive Upper-Bound Linear Mean Square Error Filter of Markovian Jump Linear Systems with Generalized Unknown Disturbances	A Method to Sparse Eigen Subspace and Eigenportfolios	Manifold and Transfer Subspace Learning for Cross- Domain Vehicle Recognition in Dynamic Systems	Video-to-Text Information Fusion Evaluation for Level 5 User Refinement	Benefits of Using Explicit Ground-Plane Information for Grid-based Urban Environment Modeling
	Paper 5	PHD Filter with Approximate Multiobject Density Measurement Update	Multiple-Model Estimation with Heterogeneous State Representation	An Application of Interacting Multiple Model Tracking Method to Financial Modeling and Asset Allocation	Pseudo-Real-Time Wide Area Motion Imagery (WAMI) Processing for Dynamic Feature Detection	Markov Logic Networks for Multi-Level Fusion Support to Intelligence Analysis
1530 - 1710	Session 6	8 - 10 concurrent sessions – 4 Papers per session
	Chair	Stefano Coraluppi	Benjamin Noack	Zhi Tian	Vasileios Maroulas	Naser Damer	James Llinas	Florian Faion
	Session Name	Data association; Object tracking	Estimation and filtering	Special Session: Applications of Data Fusion and Predictive Analytics to Finance, Business, and Marketing	Special Session: Dynamic Data Driven Application Systems for Sensor Data Problems: Belief	Special Session: Information Fusion in Multi-Biometric Systems	Special Session: Multi-Level Fusion: bridging the gap between high and low level fusion	Special Session: Probabilistic RGBD Data Fusion
	Paper 1	MCMC and MHT Approaches to Multi-INT Surveillance	Determination, Separation, and Tracking of an Unknown Time Varying Number of Maneuvering Sources by Bayes Joint Decision-Estimation	An Application of Data Fusion Techniques in Quantitative Operational Risk Management	Information Fusion with Belief Functions: a Comparison of Proportional Conflict Redistribution PCR5 and PCR6 Rules for Networked Sensors	Face Image Resolution Enhancement Based on Weighted Fusion of Wavelet Decomposition	Application of Multi-level Fusion for Pattern of Life Analysis	Anisotropic Point-Based Fusion
	Paper 2	Distributed MHT with Active and Passive Sensors	Extended Kalman Filter Modifications Based on an Optimization View Point	Market Analysis and Trading Strategies with Bayesian Networks	Information Fusion with Topological Event Spaces	Fusion of Face and Periocular Information for Improved Authentication on Smartphones	Ambiguity Reduction of Underwater Targets in Framework of Topic Modeling	RGBD Data Based Pose Estimation: Why Sensor Fusion?
	Paper 3	A Maximum Weight Constrained Path Cover Algorithm for Graph-Based Multitarget Tracking	Treatment of Biased and Dependent Sensor Data in Graph-based SLAM		Two Novel Methods for BBA Approximation Based on Focal Element Redundancy
	Paper 4	Detecting Changes of Transportation-Mode by Using Classification Data	An Effective Modeling Framework for Equality-Constrained Dynamic Systems		Modified PCR Rules of Combination with Degrees of Intersections
1710		Event	Event