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» Layers: A New Approach to Locating Objects in Space
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TNN
2010
234views Management» more  TNN 2010»
14 years 6 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
IPPS
1998
IEEE
15 years 4 months ago
Migration and Rollback Transparency for Arbitrary Distributed Applications in Workstation Clusters
Programmers and users of compute intensive scientific applications often do not want to (or even cannot) code load balancing and fault tolerance into their programs. The PBEAM syst...
Stefan Petri, Matthias Bolz, Horst Langendörf...
SIAMIS
2008
116views more  SIAMIS 2008»
14 years 11 months ago
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
This paper introduces a new approach to the problem of quantitative reconstruction of an object from few radiographic views. A mixed variable programming problem is formulated in ...
Mark A. Abramson, Thomas J. Asaki, J. E. Dennis, K...
ICCV
2003
IEEE
15 years 5 months ago
What Does Motion Reveal About Transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent o...
Moshe Ben-Ezra, Shree K. Nayar
IEAAIE
1999
Springer
15 years 4 months ago
Modelling Fuzzy Sets Using Object-Oriented Techniques
This paper describes a new approach to model fuzzy sets using object-oriented programming techniques. Currently, the most frequently used method to model fuzzy sets is by using a p...
Gary Yat Chung Wong, Hon Wai Chun