Heidi M. Sosik — accepted AI-conference papers

2020

Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations

John E. San Soucie, Heidi M. Sosik, Yogesh Girdhar

ICRA 2020poster

We propose a generative model for the spatio-temporal distribution of high dimensional categorical observations. These are commonly produced by robots equipped with an imaging sensor such as a camera, paired with an image classifier, potentially producing observations over thousands of categories. T…

Cited by 6 Source ↗Scholar ↗

2017

Phytoplankton hotspot prediction with an unsupervised spatial community model

Arnold Kalmbach, Yogesh Girdhar, Heidi M. Sosik, Gregory Dudek

ICRA 2017poster

Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density gradient is likely to be very noisy. We present a novel approach to this search problem, where we model the co-occurrence re…

Cited by 9 Source ↗Scholar ↗