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» Learning and reasoning about interruption
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IUI
2005
ACM
14 years 2 months ago
Task learning by instruction in tailor
In order for intelligent systems to be applicable in a wide range of situations, end users must be able to modify their task descriptions. We introduce Tailor, a system that allow...
Jim Blythe
CVIU
2008
188views more  CVIU 2008»
13 years 8 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
EKAW
2004
Springer
14 years 2 months ago
Semantic Webs for Learning: A Vision and Its Realization
Abstract. Augmenting web pages with semantic contents, i.e., building a ‘Semantic Web’, promises a number of benefits for web users in general and learners in particular. Seman...
Arthur Stutt, Enrico Motta
SC
2009
ACM
14 years 3 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
ICCV
2007
IEEE
14 years 10 months ago
Learning to Find Object Boundaries Using Motion Cues
While great strides have been made in detecting and localizing specific objects in natural images, the bottom-up segmentation of unknown, generic objects remains a difficult chall...
Andrew N. Stein, Derek Hoiem, Martial Hebert