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  • Plenary Talk

    • Fusion 2015

    Plenary Talk

    Large Scale Value-Centered Data Fusion

    ETURWG

    Sequential Monte Carlo Methods for Complex Systems

    Real-World Problems with Network Abstractions

    Sensor, Resources and Process Management for Information Fusion Systems

    Random Sets and Processes

    Fusion Enabled Decision Support

    MSTWG– Part 1

    Applications of Data Fusion

    Uncertainty Management and Reasoning

    Sensor and Fusion Process Management Including Performance Evaluation

    Target Detection and Localization: Estimation and Filtering: Object Tracking

    Trust in Fused Information

    MSTWG – Part 2

    Big Data Fusion

    Target Detection and Localization

    Directional Estimation

    Data Mining and Machine Learning in Data Fusion

    Intelligent Information Fusion

    Advances in Distributed Kalman Filtering

    Ontologies, Graphs, and Semantic Reasoning for High Level Fusion

    Sensor Management

    Extended Object and Group Tracking

    Data Fusion Methods for Indoor Localization of People and Objects

    Data Mining and Machine Learning in Data Fusion (CAT)

    Context-based Information Fusion

    Distributed/Decentralized Fusion

    Applications of Data Fusion (Automotive)

    Situation Representation and Estimation

    Space Object Detection, Tracking, Identification, and Classification

    Image Fusion and Video Tracking

    Averaging Measures: Wasserstein Barycenters, MMOSPA

    Change, Anomaly, and Trend (CAT) Detection in Challenging Environments

    Situation and Threat Assessment

    Uncertainty Management and Reasoning: Estimation

    Registration

    Estimation and Filtering: Object Tracking

    Signal Processing and Computer Vision

    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

    Data Association: Estimation

    Estimation and Filtering

    Applications of Data Fusion and Predictive Analytics to Finance, Business, and Marketing

    Dynamic Data Driven Application Systems for Sensor Data Problems

    Multi-Level Fusion: Bridging the Gap Between High and Low Level Fusion

    Target Classification

    Data Association: Object Tracking

    Dynamic Data Driven Application Systems for Sensor Data Problems: Belief

    Information Fusion in Multi-Biometric Systems

    Probabilistic RGBD Data Fusion