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» Mobile Learning: A New Paradigm in Electronic Learning
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CVPR
2008
IEEE
14 years 10 months ago
Face alignment via boosted ranking model
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is al...
Gianfranco Doretto, Hao Wu, Xiaoming Liu 0002
EMNLP
2008
13 years 10 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
ICWE
2003
Springer
14 years 1 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...
INFOCOM
1996
IEEE
14 years 26 days ago
Intelligent Agents: An Emerging Technology for Next Generation Telecommunications?
The telecommunications environment is changing its face towards an open market of information services where the vision is "information any time, at any place, in any form&qu...
Thomas Magedanz, Kurt Rothermel, Sven Krause
CVPR
2009
IEEE
15 years 3 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...