People with chronic health problems use online resources to understand and manage their condition, but many such resources can present competing and confusing viewpoints. We surve...
Jennifer Mankoff, Kateryna Kuksenok, Sara B. Kiesl...
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Large numbers of people all over the world read and contribute to various review sites. Many contributors are understandably concerned about privacy in general and, specifically,...
We address the problem of using external rotation information with uncalibrated video sequences. The main problem addressed is, what is the benefit of the orientation information ...
In this paper we propose a new method for detecting straight line segments in digital images. It improves upon existing methods by giving precise results while controlling the num...