On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
Helmut Grabner, Horst Bischof, Jan Sochman, Jiri M...
A study of how different groups of people find the experience of flexible online learning. A first year course in Internet and Web Design is offered to a diverse range of students...
Introductory computer programming courses are inherently challenging for a variety of reasons. With increased demands for online delivery, the use of effective technologies, materi...
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
In this paper, we describe the identity policy decisions for a community network outside of Boston, Massachusetts. To promote trust and accountability, a member's online iden...