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» Uncertainty Reduction Using Dynamics
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113
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JCNS
2010
100views more  JCNS 2010»
15 years 1 months ago
Morphologically accurate reduced order modeling of spiking neurons
Accurately simulating neurons with realistic morphological structure and synaptic inputs requires the solution of large systems of nonlinear ordinary differential equations. We ap...
Anthony R. Kellems, Saifon Chaturantabut, Danny C....
121
Voted
ICCD
2001
IEEE
121views Hardware» more  ICCD 2001»
15 years 11 months ago
Determining Schedules for Reducing Power Consumption Using Multiple Supply Voltages
Dynamic power is the main source of power consumption in CMOS circuits. It depends on the square of the supply voltage. It may significantly be reduced by scaling down the supply ...
Noureddine Chabini, El Mostapha Aboulhamid, Yvon S...
130
Voted
CVPR
2000
IEEE
16 years 4 months ago
High Dynamic Range Imaging: Spatially Varying Pixel Exposures
While real scenes produce a wide range of brightness variations, vision systems use low dynamic range image detectors that typically provide 8 bits of brightness data at each pixe...
Shree K. Nayar, Tomoo Mitsunaga
DATE
2006
IEEE
76views Hardware» more  DATE 2006»
15 years 8 months ago
Performance optimization for energy-aware adaptive checkpointing in embedded real-time systems
Using additional store-checkpoinsts (SCPs) and compare-checkpoints (CCPs), we present an adaptive checkpointing for double modular redundancy (DMR) in this paper. The proposed app...
Zhongwen Li, Hong Chen, Shui Yu
96
Voted
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 8 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright