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» Specifying interaction surfaces using interaction maps
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MHCI
2009
Springer
15 years 10 months ago
Information empowerment through mobile learning
Information empowers those who make sense from its successful interpretation; this is especially true on the subject of weather where the recipient is required to have prior forms...
Raymond Koon Chuan Koh, Henry Xin Liong Tan, Henry...
HRI
2006
ACM
15 years 10 months ago
Teaching robots by moulding behavior and scaffolding the environment
Programming robots to carry out useful tasks is both a complex and non-trivial exercise. A simple and intuitive method to allow humans to train and shape robot behaviour is clearl...
Joe Saunders, Chrystopher L. Nehaniv, Kerstin Daut...
CGF
1998
116views more  CGF 1998»
15 years 3 months ago
Importance Driven Texture Coordinate Optimization
Traditionally, texture coordinates have been generated based solely on the model’s geometry, often even before a model’s textures have been created. With the arrival of new te...
Peter-Pike J. Sloan, David M. Weinstein, J. Dean B...
133
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TKDE
2010
164views more  TKDE 2010»
15 years 2 months ago
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
Abstract—The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context informa...
Antonis Bikakis, Grigoris Antoniou
CVPR
2011
IEEE
14 years 11 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth