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ICIP
2006
IEEE
14 years 11 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
PRL
2007
98views more  PRL 2007»
13 years 9 months ago
Error probabilities for local extrema in gene expression data
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
Perry Groot, Christian Gilissen, Michael Egmont-Pe...
ARC
2008
Springer
175views Hardware» more  ARC 2008»
13 years 11 months ago
Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA
Abstract. Financial applications are one of many fields where a multivariate Gaussian random number generator plays a key role in performing computationally extensive simulations. ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
ARC
2009
Springer
188views Hardware» more  ARC 2009»
14 years 4 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
CEC
2007
IEEE
14 years 4 months ago
Covariance matrix repairing in Gaussian based EDAs
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
Weishan Dong, Xin Yao