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» Handling variations and uncertainties
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ASPDAC
2005
ACM
123views Hardware» more  ASPDAC 2005»
13 years 10 months ago
Yield driven gate sizing for coupling-noise reduction under uncertainty
Abstract— This paper presents a post-route gate-sizing algorithm for coupling-noise reduction that constrains the yield loss under process variations. Algorithms for coupling-noi...
Debjit Sinha, Hai Zhou
ICPR
2004
IEEE
14 years 9 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors
SIGOPS
2008
157views more  SIGOPS 2008»
13 years 8 months ago
Evaluation of interrupt handling timeliness in real-time Linux operating systems
Several real-time Linux extensions are available nowadays. Two of those extensions that have received special attention recently are Preempt-RT and Xenomai. This paper evaluates t...
Paul Regnier, George Lima, Luciano Barreto
ICIP
2005
IEEE
14 years 10 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
EMO
2005
Springer
68views Optimization» more  EMO 2005»
14 years 2 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg