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» Robustness of the Learning with Errors Assumption
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CVPR
2011
IEEE
14 years 8 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
AIED
2007
Springer
15 years 6 months ago
Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab?
In this work we are investigating the learning benefits of e-Learning principles (a) within the context of a web-based intelligent tutor and (b) in the “wild,” that is, in real...
Bruce M. McLaren, Sung-Joo Lim, David Yaron, Kenne...
AIPS
2010
14 years 12 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
72
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AIED
2007
Springer
15 years 6 months ago
Explaining Self-Explaining: A Contrast between Content and Generation
Self-explaining has been repeatedly shown to result in positive learning outcomes for students in a wide variety of disciplines. However, there are two potential accounts for why s...
Robert G. M. Hausmann, Kurt VanLehn
IJCV
2008
209views more  IJCV 2008»
14 years 10 months ago
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutiv...
Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Mic...