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Found 4 papers, 0 papers with code
Sequential Bayesian Experimental Design with Variable Cost Structure
As a result, many algorithms utilize MI bounds as proxies that lack regret-style guarantees.
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking
Robust data association is critical for analysis of long-term motion trajectories in complex scenes.
A Robust Approach to Sequential Information Theoretic Planning
In many sequential planning applications a natural approach to generating high quality plans is to maximize an information reward such as mutual information (MI).
Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm
In a novel manner, we demonstrate how the sparsity of the personal road network of a driver in conjunction with a hierarchical topic model allows data driven predictions about destinations as well as likely road conditions.
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