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» Learning about Constraints by Reflection
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AI
2001
Springer
13 years 8 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
CANDC
2007
ACM
13 years 6 months ago
All I really need to know (about creative thinking) I learned (by studying how children learn) in kindergarten
This paper argues that the “kindergarten approach to learning” – characterized by a spiraling cycle of Imagine, Create, Play, Share, Reflect, and back to Imagine – is idea...
Mitchel Resnick
BC
2002
90views more  BC 2002»
13 years 4 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
ICCV
2007
IEEE
14 years 6 months ago
Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance : A Stratified Photometric Stereo Approach
We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially varying isotropic bidirectional reflectance distribution function (BRDF), and introdu...
Neil G. Alldrin, David J. Kriegman
CORR
2000
Springer
96views Education» more  CORR 2000»
13 years 4 months ago
A Bayesian Reflection on Surfaces
: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informativ...
David R. Wolf