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» Constrained Monte Carlo and the method of control variates
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ICASSP
2011
IEEE
12 years 11 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
ASPDAC
2010
ACM
165views Hardware» more  ASPDAC 2010»
13 years 5 months ago
Dynamic power estimation for deep submicron circuits with process variation
- Dynamic power consumption in CMOS circuits is usually estimated based on the number of signal transitions. However, when considering glitches, this is not accurate because narrow...
Quang Dinh, Deming Chen, Martin D. F. Wong
ICCAD
2007
IEEE
86views Hardware» more  ICCAD 2007»
14 years 4 months ago
Stimulus generation for constrained random simulation
Constrained random simulation is the main workhorse in today’s hardware verification flows. It requires the random generation of input stimuli that obey a set of declaratively...
Nathan Kitchen, Andreas Kuehlmann
SIGGRAPH
2010
ACM
14 years 11 hour ago
Optimizing walking controllers for uncertain inputs and environments
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
DAC
2010
ACM
13 years 7 months ago
QuickYield: an efficient global-search based parametric yield estimation with performance constraints
With technology scaling down to 90nm and below, many yield-driven design and optimization methodologies have been proposed to cope with the prominent process variation and to incr...
Fang Gong, Hao Yu, Yiyu Shi, Daesoo Kim, Junyan Re...