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» A Shape-Based Object Class Model for Knowledge Transfer
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ACSW
2004
15 years 14 days ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
IJAR
2007
87views more  IJAR 2007»
14 years 11 months ago
Pruning belief decision tree methods in averaging and conjunctive approaches
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the uncertainty is represented through the Transferable Belief Model (TBM), one interp...
Salsabil Trabelsi, Zied Elouedi, Khaled Mellouli
CVIU
2011
14 years 2 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
VMV
2008
107views Visualization» more  VMV 2008»
15 years 14 days ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ICSE
1999
IEEE-ACM
15 years 3 months ago
Exploiting Smalltalk Modules in a Customizable Programming Environment
This paper describes how we have extended a module structure of the Smalltalk LearningWorks to provide a programming environment deigned for very large scale technology transfer. ...
Mark Woodman, Robert Griffiths, Malcolm Macgregor,...