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ICPR
2008
IEEE
16 years 7 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
15 years 10 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»
15 years 6 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
16 years 2 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
16 years 6 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