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JCB
2007
198views more  JCB 2007»
14 years 11 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
BMCBI
2005
131views more  BMCBI 2005»
14 years 11 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
CAD
2005
Springer
14 years 11 months ago
Optimizing the topological and combinatorial complexity of isosurfaces
Since the publication of the original Marching Cubes algorithm, numerous variations have been proposed for guaranteeing water-tight constructions of triangulated approximations of...
Carlos Andújar, Pere Brunet, Antoni Chica, ...
CAD
2005
Springer
14 years 11 months ago
Design automation for customized apparel products
This paper presents solution techniques for a three-dimensional Automatic Made-to-Measure (AMM) scheme for apparel products. Freeform surface is adopted to represent the complex g...
Charlie C. L. Wang, Yu Wang 0010, Matthew Ming-Fai...
CCR
2005
129views more  CCR 2005»
14 years 11 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
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