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» Novel iteration schemes for the Cluster Variation Method
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BMCBI
2007
237views more  BMCBI 2007»
13 years 7 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
ICCAD
2005
IEEE
107views Hardware» more  ICCAD 2005»
14 years 4 months ago
Projection-based performance modeling for inter/intra-die variations
Large-scale process fluctuations in nano-scale IC technologies suggest applying high-order (e.g., quadratic) response surface models to capture the circuit performance variations....
Xin Li, Jiayong Le, Lawrence T. Pileggi, Andrzej J...
TVCG
2011
175views more  TVCG 2011»
13 years 2 months ago
Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping
—This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good ...
László Szirmay-Kalos, Gabor Liktor, ...
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
12 years 11 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik
CVPR
2004
IEEE
14 years 9 months ago
Optimizing Motion Estimation with Linear Programming and Detail-Preserving Variational Method
In this paper, we propose a novel linear programming based method to estimate arbitrary motion from two images. The proposed method always finds the global optimal solution of the...
Hao Jiang, Ze-Nian Li, Mark S. Drew