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» Modelling Generic Judgements
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WSC
1998
15 years 5 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
MSWIM
2004
ACM
15 years 9 months ago
Detailed models for sensor network simulations and their impact on network performance
Recent trends in sensor network simulation can be divided between less flexible but accurate emulation based approach and more generic but less detailed network simulator models....
Maneesh Varshney, Rajive Bagrodia
CVPR
2005
IEEE
16 years 6 months ago
Implicit Surfaces Make for Better Silhouettes
This paper advocates an implicit-surface representation of generic 3?D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constrai...
Slobodan Ilic, Mathieu Salzmann, Pascal Fua
ICIP
1999
IEEE
16 years 5 months ago
Lossy Compression of Stochastic Halftones with JBIG2
The JBIG2standard supports lossless and lossy coding models for text, halftone, and generic regions in bi-level images. For the JBIG2 lossy halftone compression mode, halftones ar...
Magesh Valliappan, Brian L. Evans, Dave A. D. Tomp...
ICDCS
2009
IEEE
16 years 1 months ago
Protecting Neighbor Discovery Against Node Compromises in Sensor Networks
The neighborhood information has been frequently used by protocols such as routing in sensor networks. Many methods have been proposed to protect such information in hostile envir...
Donggang Liu