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PRL
2011
15 years 1 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
TIT
2011
160views more  TIT 2011»
15 years 1 months ago
Dispersion of the Gilbert-Elliott Channel
—Channel dispersion plays a fundamental role in assessing the backoff from capacity due to finite blocklength. This paper analyzes the channel dispersion for a simple channel wi...
Yury Polyanskiy, Harold Vincent Poor, Sergio Verd&...
IFIP
2010
Springer
15 years 1 months ago
A Formal Analysis of Authentication in the TPM
The Trusted Platform Module (TPM) is a hardware chip designed to enable computers to achieve a greater level of security than is possible in software alone. To this end, the TPM pr...
Stéphanie Delaune, Steve Kremer, Mark Dermo...
JMLR
2010
141views more  JMLR 2010»
15 years 1 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
TMI
2010
298views more  TMI 2010»
15 years 1 months ago
An Efficient Numerical Method for General Lp Regularization in Fluorescence Molecular Tomography
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
Jean-Charles Baritaux, Kai Hassler, Michael Unser