Search Results for author: Ryan D. Turner

Found 2 papers, 0 papers with code

A Complete Variational Tracker

no code implementations NeurIPS 2014 Ryan D. Turner, Steven Bottone, Bhargav Avasarala

We introduce a novel probabilistic tracking algorithm that incorporates combinatorial data association constraints and model-based track management using variational Bayes.

Management

Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking

no code implementations NeurIPS 2013 Ryan D. Turner, Steven Bottone, Clay J. Stanek

We develop variational approximations to the posterior on change point times (formulated as run lengths) for efficient inference when the underlying model is not in the exponential family, and does not have tractable posterior predictive distributions.

Change Point Detection Variational Inference

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