We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
We used an iterative design process to develop a privacy label that presents to consumers the ways organizations collect, use, and share personal information. Many surveys have sh...
Patrick Gage Kelley, Joanna Bresee, Lorrie Faith C...
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
This paper describes Armil, a meta-search engine that groups the web snippets returned by auxiliary search engines into disjoint labeled clusters. The cluster labels generated by A...
Filippo Geraci, Marco Pellegrini, Marco Maggini, F...