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» MABLE: a framework for learning from natural instruction
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ICCV
2011
IEEE
12 years 5 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
HICSS
2008
IEEE
124views Biometrics» more  HICSS 2008»
13 years 11 months ago
Learning Object Development and Repository Design for Digital Government Instruction
As the field of e-government expands and grows, the number of academic courses, professional workshops, online courses, and continuing education opportunities in this field also i...
Nathan Botts, Benjamin L. Schooley, Thomas A. Hora...
CI
2000
134views more  CI 2000»
13 years 4 months ago
Choosing Rhetorical Structures to Plan Instructional Texts
This paper discusses a fundamental problem in natural language generation: how to organize the content of a text in a coherent and natural way. In this research, we set out to det...
Leila Kosseim, Guy Lapalme
IUI
2005
ACM
13 years 10 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
ATAL
2004
Springer
13 years 10 months ago
Teaching and Working with Robots as a Collaboration
New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as ca...
Cynthia Breazeal, Guy Hoffman, Andrea Lockerd