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State Estimation

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Showing 1026–1050 of 1067 papers

TitleStatusHype
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—0
Identification of Gaussian Process State Space Models—0
Power Systems Data Fusion based on Belief Propagation—0
A Bayesian Filtering Algorithm for Gaussian Mixture Models—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
Direct Monocular Odometry Using Points and Lines—0
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults—0
Enhancing Observability in Distribution Grids using Smart Meter Data—0
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics—0
The Neural Particle Filter—0
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering—0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution—0
Team-Optimal Distributed MMSE Estimation in General and Tree Networks—0
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter—0
Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process—0
Maximum Correntropy Unscented Filter—0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
Online Multi-Target Tracking Using Recurrent Neural Networks—0
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems—0
Towards Practical Bayesian Parameter and State Estimation—0
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation—0
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding—0
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search—0
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective—0
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