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State Estimation

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Showing 1026–1050 of 1067 papers

TitleStatusHype
Identification of Gaussian Process State Space Models—0
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—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
Towards Practical Bayesian Parameter and State Estimation—0
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems—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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