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ICPR
2008
IEEE
14 years 11 months ago
Training sequential on-line boosting classifier for visual tracking
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...
ITICSE
1999
ACM
14 years 2 months ago
Who wants to learn online?
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...
Stuart Young, Ross Dewstow, Mae McSporran
IIE
2008
104views more  IIE 2008»
13 years 10 months ago
Exploring Technologies, Materials, and Methods for an Online Foundational Programming Course
Introductory computer programming courses are inherently challenging for a variety of reasons. With increased demands for online delivery, the use of effective technologies, materi...
Eman El-Sheikh, John W. Coffey, Laura J. White
CVPR
2010
IEEE
14 years 6 months ago
Online Multiclass LPBoost
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...
CHI
2003
ACM
14 years 10 months ago
Identity disclosure and the creation of social capital
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...
David R. Millen, John F. Patterson