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» Optimal Monte Carlo Algorithms
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ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 4 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
ISQED
2009
IEEE
91views Hardware» more  ISQED 2009»
14 years 2 months ago
Variability-aware optimization of nano-CMOS Active Pixel Sensors using design and analysis of Monte Carlo experiments
We propose a novel design flow for mismatch and processvariation aware optimization of nanoscale CMOS Active Pixel Sensor (APS) arrays. As a case study, an 8 × 8 APS array is de...
Dhruva Ghai, Saraju P. Mohanty, Elias Kougianos
BMCBI
2004
177views more  BMCBI 2004»
13 years 7 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
WSC
2008
13 years 10 months ago
Efficient tail estimation for sums of correlated lognormals
Our focus is on efficient estimation of tail probabilities of sums of correlated lognormals. This problem is motivated by the tail analysis of portfolios of assets driven by corre...
Jose Blanchet, Sandeep Juneja, Leonardo Rojas-Nand...
ECCV
2006
Springer
14 years 9 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams