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» Learning and reasoning about interruption
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IUI
2005
ACM
15 years 7 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»
15 years 2 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
15 years 7 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
15 years 8 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
16 years 3 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