yusuke1997/dblp-id-title huggingface dataset:
Object tracking in urban intersections: Active interacting multi model filter with handling of uncertainties of map matching
Gaussian sum filter for state estimation of Markov jump nonlinear system
A Performance Comparison of the PMD and IMM filters for a Mix of two Distinctively Different Classes of Target Trajectories
Adaptive cubature Kalman filter for nonlinear state and parameter estimation
Accelerated Design of a Conformal Strongly Coupled Magnetic Resonance Wireless Power Transfer
Extended Kalman filter with manifold state representation for navigating a maneuverable melting probe
An alternative derivation of a Bayes tracking filter based on finite mixture models
Consistent Distributed Track Fusion Under Communication Constraints
Introduction of the hybrid inference tool (HIT)
Deep Bidirectional Correlation Filters for Visual Object Tracking
Multiple-model hypothesis testing using adaptive representative model
Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video
Scalable Event-Triggered Data Fusion for Autonomous Cooperative Swarm Localization
Operational information content sum capacity: Formulation and examples
Particle based probability density fusion with differential Shannon entropy criterion
Progressive Gaussian mixture reduction
Analysis of CBRN sensor fusion methods
Multi level fusion of competitive sensors for automotive environment perception
Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter
Pattern classification with missing data using belief functions
Data-Driven Merging of Car-Following Models for Interaction-Aware Vehicle Speed Prediction
Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
On the application of multiple hypothesis tracking to the cyber domain
A risk-unbiased bound for information fusion with nuisance parameters
Fusion of pairwise nearest-neighbor classifiers based on pairwise-weighted distance metric and Dempster-Shafer theory
Progressive Gaussian filter using importance sampling and particle flow
AwezaMed: A Multilingual, Multimodal Speech-To-Speech Translation Application for Maternal Health Care
Estimation of adversarial social networks by fusion of information from a wide range of sources
A hybrid model towards moving route prediction under data sparsity
LiDAR Point Cloud-Based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association
GPU-accelerated progressive Gaussian filtering with applications to extended object tracking
Sliding window test vs. single time test for Track-to-Track Association
Colour as an attribute for automated detection in maritime environments
Revisiting the SS Central America search
Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Focal elements generated by the Dempster-Shafer theoretic conditionals: A complete characterization
Multi-vector Matching Deformation Measurement Method
A road edge detection approach for marked and unmarked lanes based on video and radar
Information-Based Georeferencing by Dual State Iterated Extended Kalman Filter with Implicit Measurement Equations and Nonlinear Geometrical Constraints
Learning Correlation Graph and Anomalous Employee Behavior for Insider Threat Detection
An analysis of data fusion for radiation detection and localization
Source localization by TDOA with random sensor position errors - Part II: Mobile sensors
Using humans as sensors in robotic search
Ontological engineering for threat evaluation and weapon assignment: a goal-driven approach
Closed-form bias reduction for shape estimation with polygon models
Adiabatic Quantum Computing for Solving the Weapon Target Assignment Problem
Optimal Particle Filter based on Bayesian Solution for Multiple Out-of-Sequence Measurements
Situation awareness and ability in coalitions
Fusion of privileged features for efficient classifier training
A PCR-BIMM filter for maneuvering target tracking
Graphical methods for real-time fusion and estimation with soft message data
Success Rates and Posterior Probabilities in Multiple Hypothesis Tracking
Performance of M-ary soft fusion systems using simulated human responses
Persistent target tracking using likelihood fusion in wide-area and full motion video sequences
A fusion concept of video and communication data for VRU recognition
Pushing Kalman's idea to the extremes
Particle filter based sensor selection in binary sensor networks
Cooperative training for attribute-distributed data: Trade-off between data transmission and performance
Higher Degree Cubature Quadrature Kalman Filter for Randomly Delayed Measurements
KN-RUE: Key Nodes based Resampling Uncertainty Estimation
Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults
Comparison of implementations of Gaussian mixture PHD filters
Track-to-track Association based on Deterministic Sampling using Herding
Multi-cluster agent-based emitter geolocation using Hough Transform data fusion
MCMC-based posterior independence approximation for RFS multitarget particle filters
On Tracking Closely-Spaced Targets in a PARAFAC-Representation of the Fermionic Wave Function Formulation
Quanta Tracking Algorithm for Low SNR Targets: How Low Can it Go?
Variational Bayesian Estimation of Time-Varying DOAs
Distributed multiple-model fusion with transformed measurements
Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data
Power allocation strategy for target localization in distributed MIMO radar systems without previous position estimation
Fast multi fault detection & exclusion approach for GNSS integrity monitoring
Iterated Extended Kalman Filter with Implicit Measurement Equation and Nonlinear Constraints for Information-Based Georeferencing
Large scale wireless indoor localization by clustering and Extreme Learning Machine
Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods
Credal Valuation Network for Ongoing Threat Assessment
Time allocation of a set of radars in a multitarget environment
Decentralised data fusion in 2-tree sensor networks
Objectively Optimised Multisensor Image Fusion
A novel Bayesian method for fitting a circle to noisy points
Early vs Late Fusion in Multimodal Convolutional Neural Networks
Joint estimation of state and sensor systematic error in hybrid system
Globally exponentially stable Kalman filtering for SLAM with AHRS
Implicit collaboration of intelligent agents through shared goals
A new heuristic for multisensor PHD filter
A framework for inferring predictive distributions of rhino poaching events through causal modelling
Purifying training data to improve performance of multi-label classification algorithms
A Diffusion-Based Distributed Time Difference Of Arrival Source Positioning
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain
State estimation for systems with unknown inputs based on variational Bayes method
A comparative analysis of QADA-KF with JPDAF for multitarget tracking in clutter
Land-Sea Clutter Classification for Over-the-Horizon Radar via Dual Attention Aided Residual Neural Networks
Combined particle and smooth variable structure filtering for nonlinear estimation problems
An efficient information sharing approach for large scale multi-agent team
Hybrid probability-possibility decision support systems for merging technical indices
Global Optimization for Resource Allocation in a Networked-Surveillance Radar
Extending BDI Multi-Agent Systems with Situation Management
Calibration factor estimation based on statistical modeling of scattering coefficient
Information quality evaluation in fusion systems
Temporal alignment in soft information processing
A robust Student's t based cubature filter
N-body filtering for road tracking using a car following model
Multi-Task Sensor Resource Balancing Using Lagrangian Relaxation and Policy Rollout
Fusion of TOF and TDOA for 3GPP positioning
A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty
An Analysis of the Mutual Information Upper Bound for Sensor-Subset Selection
Isolating Random and Bias Covariances in Tracks
Context Awareness in Uncertain Pervasive Computing and Sensors Environment
Instability caused by the cubic potential in the foreign exchange market observed at the intervention by the Bank of Japan
Selecting and Evaluating Combinatorial Fusion Criteria to Improve Multitarget Tracking
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models
Temporal bounded reasoning for context-based information fusion in DoS attack detection
Fusion of soft information using TBM
A robust and efficient system identification method for a state-space model with heavy-tailed process and measurement noises
Assessment of uncertainty in soft data: A case study
Tracking group co-membership on networks
Evaluation of mixed-valued features Via set cover criteria
General solution for asynchronous sensors bias estimation
CREDO: A military decision-support system based on credal networks
Face Fusion: An Automatic Method For Virtual Plastic Surgery
Joint node selection and power allocation for multitarget tracking in decentralized radar networks
Cross-Modal Attention for Multimodal Information Fusion: A Novel Approach to Attention Deficit Hyperactivity Disorder Detection
Multiple hypothesis tracker in the presence of RGPO/RGPI using amplitude information
Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme
Association of labelled tracks with low reliability covariance information: a track graph partitioning approach
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure
Refined classifier combination using belief functions
High-resolution hyperspectral image fusion based on spectral unmixing
Thermal and Visible Image Registration Using Deep Homography
Fault detection for systems with multiple unknown modes and similar units - Part II: Application to HVAC
Multi-lead fusion detection of T-wave alternans using Dezert-Smarandache theory
An Optimal Transport Perspective on Gamma Gaussian Inverse-Wishart Mixture Reduction
Geometric separation of superimposed images
A Laplace-based particle filter for track-before-detect
Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity
Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models
Belief-based argumentation and golden rule for decision making with soft and hard information
An Efficient Particle Filter for the OOSM Problem in Nonlinear Dynamic Systems
Convex feasibility problem based geometric approach for device-free localization
Complex networks and social network analysis in information fusion
An embedded platform approach to privacy-centric person re-identification
Multiple Kernel Learning for vehicle detection in wide area motion imagery
A Two-stage Transition Correction Function for Adaptive Markov Matrix in IMM Algorithm
Hybrid grid multiple-model estimation with application to maneuvering target tracking
Comparing Visual Tracker Fusion on Thermal Image Sequences
On the efficiency of semantic web based context computing infrastructures
Evaluation of Counter Unmanned Aerial Systems through the levels
A track scoring MOP for perimeter surveillance radar evaluation
Combined person tracking and classification in a network of chemical sensors
Design of Unitless Normalized Measure of Nonlinearity for State Estimation
Fusing Economic Indicators for Portfolio Optimization - A Simulation-Based Approach
Approaches for solving m-best 3-dimensional dynamic scheduling problems for large m
Saddle point method for JPDA and related filters
Outlier-Robust Schmidt-Kalman Filter Using Variational Inference
Optimal sensor placement for Doppler-only target tracking: 1D target motion case
Non-parametric Bayesian modeling and fusion of spatio-temporal information sources
A Gaussian mixture motion model and contact fusion applied to the Metron data set
A distributed expectation-maximization algorithm for OTHR multipath target tracking
Enrichment of Qualitative Beliefs for Reasoning under Uncertainty
A theoretical look at information-driven sensor management criteria
Track initialization from incomplete measurements
The multi-sensor PHD filter: Analytic implementation via Gaussian mixture and effective binary partition
Adaptive Gaussian mixture filter based on statistical linearization
Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models
Distributed particle filtering via optimal fusion of Gaussian mixtures
Multi-sensor estimation fusion for linear equality constrained dynamic systems
On constraints exploitation for particle filtering based target tracking
Fusion of information from SAR and optical map images for aided navigation
Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow
Global space-time association for Probability Hypothesis Density filter
Projected Feedback Particle Filtering for Chaotic Dynamical Systems Using Lyapunov Vectors
Artificial iImmune systems for data fusion: A novel biologically inspired approach
Networked enabled combat for the enhancement of the underwater common operating picture
Measuring situation assessment performance through the activities of interest score
Performance of probability transformations using simulated human opinions
Random Matrix-based Tracking of Rectangular Extended Objects with Contour Measurements
Observability Analysis of Multipath Assisted Target Tracking with Unknown Reflection Surface
Optimal Sensor Placement for Shooter Localization Using a Genetic Algorithm
Multi-model hypothesis tracking of groups of people in RGB-D data
Localization-based detection under network losses
MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things
Uncertainty evaluation of data and information fusion within the context of the decision loop
Passive multi-object localization and tracking using bearing data
Multitarget tracking via joint PHD filtering and multiscan association
Dichoptic Fusion of Thermal and Intensified Imagery
A three scale image transformation for infrared and visible image fusion
Comparison of nonlinear attitude fusion filters
Ovamah: Multiagent-based adaptive virtual organizations
Optimal fusion rules for label fusion of dependent classification systems
A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories
Ensemble clustering based on evidence theory
Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises
Blotch Detection for Digital Archives Restoration based on the Fusion of Spatial and Temporal Detectors
Real-time Seamless Image Stitching in Autonomous Driving
Scalable uncertainty treatment using triplestores and the OWL 2 RL profile
A hybrid prediction method and its application in the distributed low-cost INS/GPS integrated navigation system
A Neutrosophic Set Based Fault Diagnosis Method Based on Power Average Operator (Poster)
Collaborative target tracking using multiple visual features in smart camera networks
Intent inference and action prediction using a Computational Cognitive Model
Spooky effect in optimal OSPA estimation and how GOSPA solves it
Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming
Considerations of Context and Quality in Information Fusion
Density Estimation Using a Generalized Neuron
Anomaly detection for sea surveillance
Measures for ranking estimation performance based on single or multiple performance metrics
Acoustic vehicle classification by fusing with semantic annotation
Design of discrete second order filters for continuous-discrete models
Square Root Partial-Update Kalman Filter
A comparison of iteratively reweighted least squares and Kalman Filter with EM in measurement error covariance estimation
Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework
Using a data fusion-based activity recognition framework to determine Surveillance System Requirements
Reconstructing evolutionary modular networks from time series data
On multitarget jump-Markov filters
On multi-robot map fusion by inter-robot observations
Conservative Compression of Information Matrices using Event-Triggering and Robust Optimization
Maximum likelihood approach to HF radar performance characterization
Multi-target tracking for multistatic sonobuoy systems
Accurate tracking in NLOS environments using integrated IMU and fixed lag smoother
Towards on-demand semantic event processing for stream reasoning
Nonlinear controllability of leader-follower formation for multi-robots
General Bayes filtering of quantized measurements
Adaptive upper-bound linear mean square error filter of Markovian jump linear systems with generalized unknown disturbances
Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network
On schedulability and time composability of data aggregation networks
An Optimal Node Depth Adjustment Method with Computation-Efficiency for Target Tracking in UWSNs
Distributed Machine Learning in Coalition Environments: Overview of Techniques
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Extended kernel-based location fingerprinting in wireless sensor networks
On the Estimation of the Size of a Target Population
Probabilistic prediction of vessel motion at multiple spatial scales for maritime situation awareness
Predictive situation awareness model for smart manufacturing
A conceptual multi-object Kalman filter based on an approximate Gaussian point process
Efficient Polling Algorithms using Friendship Paradox and Blackwell Dominance
Fusing 2D and 3D clues for 3D tracking using visual and range data
Cyber-physical correlations for infrastructure resilience: A game-theoretic approach
One-way deep space navigation with radiometric and inertial data fusion
Using lateral length measurements in GMTI convoy tracking
A Fast Poisson Multi-Bernoulli Filter for Multiple Target Tracking
Parameter identification of a pressure regulator with a nonlinear structure using a particle filter based on the nonlinear state space model
EKF/UKF maneuvering target tracking using coordinated turn models with polar/Cartesian velocity
The control distance metric and constraints on maneuvering satellites
Performance prediction of feature aided track-to-track association
Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems
A New Image Fusion Method for Ship Target Enhancement in Spaceborne and Airborne SAR Collaboration
Fault detection for systems with multiple unknown modes and similar units - Part I
Robust sensor fusion in real maritime surveillance scenarios
Combination of Sources of Evidence with Distinct Frames of Discernment
Multi-Target Viterbi Data Association
Posterior Cramér-Rao lower bounds for extended target tracking with random matrices
Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Performances of an ATR system via its ROC manifold
On performance of individual, collective and network detection of propagative sources
Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Identification of Simple Product-Form Plumes Using Networks of Sensors With Random Errors
High-accuracy Parallel Two-stage Estimator for Generalized Bias of Micro Sensor with Unknown Input
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
A Handover Triggering Algorithm for Managing Mobility in WSNs
Flexible estimation of risk metric using copula model for the joint severity-frequency loss framework
The any-combiner for multi-agent target classification
Investigation of two methods based on Empirical Mode Decomposition for removal of real and contaminated blink from EEG
Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
Multisensor JiFi Tracking of Extended Objects
Unsupervised learning and fusion for failure detection in wind turbines
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
A Graph-Based Framework for Fusion: From Hypothesis Generation to Forensics
User-Specified Optimization Based Transformation of Fuzzy Membership Into Basic Belief Assignment
Trajectory optimization for multi-platform bearing-only tracking with ghosts
A Geometric probabilistic framework for data fusion in information retrieval
A joint beam and dwell time allocation strategy for multiple target tracking based on phase array radar system
A semi-Markov multiple event filter for maneuvering targets
Improving extent estimation of extended targets with Track-before-Detect
An end-point-constrained extended Kalman filter for tracking maneuvering near-radially inbound targets
Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates
Distributed Binary Quantizers for Communication Constrained Large-scale Sensor Networks
Deep Generative Acoustic Models for Real-Time Sonar Systems
Representing and updating objects' identities in semantic SLAM
On orientation estimation using iterative methods in Euclidean space
Data fusion utilization for distributed target detection with tree topology
A multi-logic framework for multi-level fusion in real time data fusion applications
Closed-form performance for location estimation based on quantized data in sensor networks
Multi scan target tracking with finite resolution sensors
Robust multi-sensor classification via joint sparse representation
Context-aided tracking with an adaptive hyperspectral sensor
Optimizing Sensor Placement in Urban Environments for Time Difference of Arrival Shooter Localization and Event Classification
Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems
Distributed Information Bayesian Recursive Update Filter
Context-sensitive data fusion using structural equation modeling
Data fusion and assessment for maneuver prediction including driving situation and driver behavior
Relevance and Importance in Deep Learning for Open Source Data Processing to Enhance Context
Entropy-Based Consistency Monitoring for Stochastic Integration Filter
GNSS pseudorange error density tracking using Dirichlet Process Mixture
Extending the scope of situation analysis
Online Estimation of Unknown Parameters in Multisensor-Multitarget Tracking: a Belief Propagation Approach
Joint Parameter Estimation and Trajectory Tracking of Bounding Boxes
A Bayesian network approach to threat evaluation with application to an air defense scenario
Multitarget tracking using binary directional information
Adaptive Temporal Decorrelation of State Estimates
An Abductive Framework for Level One Information Fusion
Elements of an Ethical AI Demonstrator for Responsibly Designing Defence Systems
Multiple target tracking by a distributed UWB sensor network based on the PHD filter
Fast and true-to-life application of daytime colours to night-time imagery
Multi-sensor Distributed Estimation Fusion Based on Minimizing the Bhattacharyya Distance Sum
An overview of space situational awareness
Mock-measurement based performance evaluation of inertial navigation without knowing ground truth
Track-Before-Detect for Bistatic Radar Based on Velocity Filtering
Implementation of Non-Gaussian Motion Models Within Stone Soup
Multiway histogram intersection for multi-target tracking
Distributed multi-target tracking via generalized multi-Bernoulli random finite sets
Fusion of visual and compass sensors for location recognition
Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings
On the globalized likelihood function for exact track-to-track fusion at arbitrary instants of time
What is required for data assimilation that is applicable to big data in the solid Earth science? Importance of simulation-/data-driven data assimilation
The Cramer-Rao Lower Bound for 3-D state estimation from rectified stereo cameras