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» Input Modeling Using Quantile Statistical Methods
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118
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ISBI
2002
IEEE
16 years 2 months ago
Fast model based segmentation of ultrasound data using an active image
In the present paper we propose a method for fast segmentation of ultrasound data. It is based on setting up a model depending on user input. We apply a matching scheme in order t...
Dieter Hönigmann, Helmut Pottmann, Johannes R...
101
Voted
RECOMB
2004
Springer
16 years 2 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
102
Voted
CDC
2009
IEEE
106views Control Systems» more  CDC 2009»
15 years 6 months ago
Gradient methods for iterative distributed control synthesis
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
Karl Martensson, Anders Rantzer
ICCAD
2003
IEEE
205views Hardware» more  ICCAD 2003»
15 years 7 months ago
Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Aseem Agarwal, David Blaauw, Vladimir Zolotov
TSMC
2002
144views more  TSMC 2002»
15 years 1 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...