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CVPR
2005
IEEE
16 years 8 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
CVPR
2006
IEEE
16 years 8 months ago
Learning Object Shape: From Drawings to Images
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
Gal Elidan, Geremy Heitz, Daphne Koller
ICALT
2009
IEEE
16 years 1 months ago
Adaptation Languages for Learning: The CAM Meta-model
Adaptive Hypermedia (AH) can offer a richer learning experience, tailored to students’ needs. However, authoring of AH is complex. Several models and systems have been developed...
Maurice Hendrix, Alexandra I. Cristea, Craig Stewa...
AH
2008
Springer
16 years 29 days ago
Automatic Generation of User Adapted Learning Designs: An AI-Planning Proposal
Abstract. A Learning Design(LD) definition under the IMS-LD standard is a complex task for the instructor because it requires a lot of time, effort and previous knowledge of the ...
Lluvia Morales, Luis A. Castillo, Juan Ferná...
SMC
2007
IEEE
16 years 26 days ago
Enhancing embodied evolution with punctuated anytime learning
—This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime learning to increase the complexity of tasks that the learning system...
Gary B. Parker, Gregory E. Fedynyshyn