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» Functional Differentiation of Computer Programs
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GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
13 years 11 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
ICN
2001
Springer
14 years 1 days ago
A Buffer-Management Scheme for Bandwidth and Delay Differentiation Using a Virtual Scheduler
—This paper presents a new scalable buffer-management scheme for IP Differentiated Services. The scheme consists of a Differentiated Random Drop (DRD) algorithm using feedback fr...
Roman Pletka, Patrick Droz, Burkhard Stiller
FSE
2004
Springer
109views Cryptology» more  FSE 2004»
13 years 11 months ago
On the Additive Differential Probability of Exclusive-Or
We study the differential probability adp of exclusive-or when differences are expressed using addition modulo 2N . This function is important when analysing symmetric primitives t...
Helger Lipmaa, Johan Wallén, Philippe Dumas
IJCV
1998
103views more  IJCV 1998»
13 years 7 months ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache
CCGRID
2008
IEEE
14 years 2 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...