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ESANN
2008
15 years 6 months ago
Computationally Efficient Neural Field Dynamics
We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic st...
Alexander Gepperth, Jannik Fritsch, Christian Goer...
TPDS
2008
93views more  TPDS 2008»
15 years 4 months ago
Evaluating Dynamic Task Mapping in Network Processor Runtime Systems
Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications ...
Xin Huang, Tilman Wolf
MASCOTS
2004
15 years 6 months ago
Execution-Driven Simulation of Network Storage Systems
A number of new network storage architectures have emerged recently that provide shared, adaptable and high-performance storage systems for dataintensive applications. Three commo...
Yijian Wang, David R. Kaeli
CVPR
2007
IEEE
16 years 7 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICS
2009
Tsinghua U.
15 years 11 months ago
Combining thread level speculation helper threads and runahead execution
With the current trend toward multicore architectures, improved execution performance can no longer be obtained via traditional single-thread instruction level parallelism (ILP), ...
Polychronis Xekalakis, Nikolas Ioannou, Marcelo Ci...