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BMCBI
2006
202views more  BMCBI 2006»
13 years 10 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
ICANN
2010
Springer
13 years 12 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis
IJCNN
2007
IEEE
14 years 5 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
PAMI
2008
173views more  PAMI 2008»
13 years 10 months ago
Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities
This study investigates Bayes classification of online Arabic characters using histograms of tangent differences and Gibbs modeling of the class-conditional probability density fun...
Neila Mezghani, Amar Mitiche, Mohamed Cheriet
CONEXT
2009
ACM
13 years 12 months ago
Online optimization of 802.11 mesh networks
802.11 wireless mesh networks are ubiquitous, but suffer from severe performance degradations due to poor synergy between the 802.11 CSMA MAC protocol and higher layers. Several s...
Theodoros Salonidis, Georgios Sotiropoulos, Roch G...