We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a doc...
There is general consensus that critical mass at inception ensures the sustained success of online communities. However, no clear understanding of what constitutes such a 'cr...
We performed a content analysis of the information shared in a locally and culturally focused health application, EatWell. In EatWell, information is shared via the creation of au...
Andrea Grimes, Brian M. Landry, Rebecca E. Grinter
A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...