8 citations · 17 across the 5 of their papers we have counts for
3 papers · 1 filter
The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas
Michael P. J. Camilleri, Christopher K. I. Williams
While label fusion from multiple noisy annotations is a well understood concept in data wrangling (tackled for example by the Dawid-Skene (DS) model), we consider the extended prob…
Inverting Supervised Representations with Autoregressive Neural Density Models
Charlie Nash, Nate Kushman, Christopher K. I. Williams
We present a method for feature interpretation that makes use of recent advances in autoregressive density estimation models to invert model representations. We train generative in…
Tree-Cut for Probabilistic Image Segmentation
Shell X. Hu, Christopher K. I. Williams, Sinisa Todorovic
This paper presents a new probabilistic generative model for image segmentation, i.e. the task of partitioning an image into homogeneous regions. Our model is grounded on a mid-lev…