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AIME
2003
Springer
15 years 9 months ago
The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions
Among the well agreed-on benefits of a guideline computerisation, with respect to the traditional text format, there are the disambiguation, the possibility of looking at the guide...
Paolo Ciccarese, Ezio Caffi, Lorenzo Boiocchi, Ass...
ICVGIP
2004
15 years 5 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
156
Voted
PUK
2000
15 years 5 months ago
An Accessibility graph learning approach for task planning in large domains
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...
Emmanuel Guere, Rachid Alami
138
Voted
COMGEO
2007
ACM
15 years 4 months ago
Learning smooth shapes by probing
We consider the problem of discovering a smooth unknown surface S bounding an object O in R3 . The discovery process consists of moving a point probing device in the free space ar...
Jean-Daniel Boissonnat, Leonidas J. Guibas, Steve ...
JMLR
2008
104views more  JMLR 2008»
15 years 4 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon