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ICCAD
2009
IEEE
152views Hardware» more  ICCAD 2009»
13 years 3 months ago
Adaptive sampling for efficient failure probability analysis of SRAM cells
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
Javid Jaffari, Mohab Anis
IPMI
2005
Springer
14 years 6 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
IJCV
2000
133views more  IJCV 2000»
13 years 5 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
TEC
2010
191views more  TEC 2010»
13 years 15 days ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...