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CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
14 years 1 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
FDG
2009
ACM
13 years 5 months ago
Toward a domain-independent framework to automate scaffolding of task-based learning in digital games
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...
James M. Thomas, R. Michael Young
ICALT
2003
IEEE
14 years 1 months ago
Exploratory + Collaborative Learning in Programming: A Framework for the Design of Learning Activities
In this paper, we propose a framework for the design of learning activities, which follows the key idea of the “Learning-for-Use” model and adopts characteristics from the exp...
Agoritsa Gogoulou, Evangelia Gouli, Maria Grigoria...
PERCOM
2005
ACM
14 years 7 months ago
Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
Pervasive eLearning requires a novel media perspective on learning objects. Instead of viewing handhelds or smart phones as minimized PCs we would like to propose a perspective on...
Reinhard Keil-Slawik, Thorsten Hampel, Bernd E&szl...