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ISBI
2008
IEEE
14 years 2 months ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 7 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
CORR
2011
Springer
178views Education» more  CORR 2011»
12 years 11 months ago
Asymptotic Analysis of Double-Scattering Channels
—We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the doubly-scatterin...
Jakob Hoydis, Romain Couillet, Mérouane Deb...
JCB
2002
160views more  JCB 2002»
13 years 7 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 7 months ago
A probabilistic framework for problems with real structured uncertainty in systems and control
The objective of this paper is twofold. First, the problem of generation of real random matrix samples with uniform distribution in structured (spectral) norm bounded sets is stud...
Giuseppe Carlo Calafiore, Fabrizio Dabbene