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» Functional Differentiation of Computer Programs
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89
Voted
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 1 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...
71
Voted
ICN
2001
Springer
15 years 2 months 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»
15 years 1 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
117
Voted
IJCV
1998
103views more  IJCV 1998»
14 years 9 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
85
Voted
CCGRID
2008
IEEE
15 years 4 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...