We investigated what mobile workers do when they are mobile to achieve their communication goals, using contextual interviews and ethnographically inspired observations in a varie...
Finding point correspondences which are consistent with a geometric constraint is one of the cornerstones of many computer vision problems. This is a difficult task because of sp...
In this poster, we describe the current findings of a workin-progress that seeks to understand the normative climate that arises within user-generated media communities when contr...
Eric Cook, Ingrid Erickson, Jennifer Thom-Santelli
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...