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BMCBI
2006
106views more  BMCBI 2006»
13 years 10 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
CCR
2006
122views more  CCR 2006»
13 years 10 months ago
Low complexity, stable scheduling algorithms for networks of input queued switches with no or very low speed-up
The delay and throughput characteristics of a packet switch depend mainly on the queueing scheme and the scheduling algorithm deployed at the switch. Early research on scheduling ...
Claus Bauer
CE
2007
122views more  CE 2007»
13 years 10 months ago
Employing virtual humans for education and training in X3D/VRML worlds
Web-based education and training provides a new paradigm for imparting knowledge; students can access the learning material anytime by operating remotely from any location. Web3D ...
Lucio Ieronutti, Luca Chittaro
IJCV
2006
165views more  IJCV 2006»
13 years 10 months ago
A Riemannian Framework for Tensor Computing
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
Xavier Pennec, Pierre Fillard, Nicholas Ayache
COR
2007
134views more  COR 2007»
13 years 10 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez