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» Learning about Constraints by Reflection
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ICPR
2002
IEEE
14 years 9 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
JCHE
2007
81views more  JCHE 2007»
13 years 7 months ago
Supporting Self-Organized Learning with Personal WebPublishing Technologies and Practices
I N THIS PAPER, we suggest that self-organized learning can be supported through emergent and informal Web technologies and propose that these technologies can be used to encourag...
Priya Sharma, Sebastian Fiedler
CVPR
2008
IEEE
14 years 10 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ACE
2004
164views Education» more  ACE 2004»
13 years 9 months ago
What Drives Curriculum Change?
While promotional literature about computer science programs may claim that curricula are determined by the needs of the students and by international best practice, the reality i...
Paul Gruba, Alistair Moffat, Harald Sønderg...
NIPS
2001
13 years 9 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr