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» Using Bayesian networks to analyze expression data
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ISCC
2008
IEEE
135views Communications» more  ISCC 2008»
15 years 9 months ago
Analysis of compressed depth and image streaming on unreliable networks
This paper explores the issues connected to the transmission of three dimensional scenes over unreliable networks such as the wireless ones. It analyzes the effect of the loss of ...
Pietro Zanuttigh, Andrea Zanella, Guido M. Cortela...
JETAI
1998
110views more  JETAI 1998»
15 years 2 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
ICPPW
2003
IEEE
15 years 8 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
BMCBI
2008
76views more  BMCBI 2008»
15 years 3 months ago
Empirical Bayes analysis of single nucleotide polymorphisms
Background: An important goal of whole-genome studies concerned with single nucleotide polymorphisms (SNPs) is the identification of SNPs associated with a covariate of interest s...
Holger Schwender, Katja Ickstadt
MVA
2000
172views Computer Vision» more  MVA 2000»
15 years 4 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi