57 citations · 60 across the 4 of their papers we have counts for
4 papers
Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations
John E. San Soucie, Heidi M. Sosik, Yogesh Girdhar
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 sens…
Learning Seasonal Phytoplankton Communities with Topic Models
Arnold Kalmbach, Heidi M. Sosik, Gregory Dudek +1
In this work we develop and demonstrate a probabilistic generative model for phytoplankton communities. The proposed model takes counts of a set of phytoplankton taxa in a timeseri…
Phytoplankton Hotspot Prediction With an Unsupervised Spatial Community Model
Arnold Kalmbach, Yogesh Girdhar, Heidi M. Sosik +1
Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density grad…
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification
Eric C. Orenstein, Oscar Beijbom, Emily E. Peacock +1
Planktonic organisms are of fundamental importance to marine ecosystems: they form the basis of the food web, provide the link between the atmosphere and the deep ocean, and influe…