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» Studies in Solution Sampling
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BMCBI
2010
125views more  BMCBI 2010»
15 years 4 months ago
Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
Noor B. Dawany, Aydin Tozeren
ICIP
2006
IEEE
16 years 5 months ago
Removing Redundancy in Multi-Resolution Scalable Video Coding Schemes
Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. Ho...
Guillaume Boisson, Edouard François
ICASSP
2008
IEEE
15 years 10 months ago
Approximate lower bounds for rate-distortion in compressive sensing systems
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
Bernard Mulgrew, Michael E. Davies
NCI
2004
188views Neural Networks» more  NCI 2004»
15 years 5 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
TNN
2008
82views more  TNN 2008»
15 years 4 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...