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IJCNN
2006
IEEE
16 years 14 days ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
IJCNN
2006
IEEE
16 years 14 days ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
DEXAW
2005
IEEE
156views Database» more  DEXAW 2005»
16 years 2 days ago
Fixing Inconsistent Databases by Updating Numerical Attributes
For several reasons a database may not satisfy certain integrity constraints (ICs). However, most likely most of the information in it is still consistent with the ICs; and could ...
Leopoldo E. Bertossi, Loreto Bravo, Enrico Francon...
WACV
2005
IEEE
16 years 17 hour ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
SMI
1999
IEEE
108views Image Analysis» more  SMI 1999»
15 years 10 months ago
Modeling of Surfaces with Fair Reflection Line Pattern
Inspection of reflection line patterns is a standard way to check the quality of free form surfaces. In this paper, we describe an approach which enables the designer to control d...
Joachim Loos, Günther Greiner, Hans-Peter Sei...