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» Power emulation: a new paradigm for power estimation
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ICCV
2007
IEEE
16 years 1 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
GI
2009
Springer
15 years 4 months ago
Massively-Parallel Simulation of Biochemical Systems
: Understanding biological evolution prompts for a detailed understanding of the realized phenotype. Biochemical and gene regulatory dynamics are a cornerstone for the physiology o...
Jens Ackermann, Paul Baecher, Thorsten Franzel, Mi...
DATE
2002
IEEE
84views Hardware» more  DATE 2002»
15 years 4 months ago
Highly Scalable Dynamically Reconfigurable Systolic Ring-Architecture for DSP Applications
Microprocessors are today getting more and more inefficient for a growing range of applications. Its principles -The Von Neumann paradigm[3]- based on the sequential execution of ...
Gilles Sassatelli, Lionel Torres, Pascal Benoit, T...
TIP
2008
115views more  TIP 2008»
14 years 11 months ago
Nonlinearities in Stereoscopic Phase-Differencing
Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
James Monaco, Alan C. Bovik, Lawrence K. Cormack
ISPAN
2000
IEEE
15 years 4 months ago
Versatile Processor Design for Efficiency and High Performance
We present new architectural concepts for uniprocessor designs that conform to the data-driven computation paradigm. Usage of our D2 -CPU (Data-Driven processor) follows the natura...
Sotirios G. Ziavras