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» Solution of a system of linear equations with fuzzy numbers
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118
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PRL
2011
14 years 7 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
77
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Robust binary least squares: Relaxations and algorithms
Finding the least squares (LS) solution s to a system of linear equations Hs = y where H, y are given and s is a vector of binary variables, is a well known NP-hard problem. In th...
Efthymios Tsakonas, Joakim Jalden, Björn E. O...
103
Voted
SIAMSC
2011
142views more  SIAMSC 2011»
14 years 7 months ago
Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations
Abstract. In this paper, we propose new adaptive local refinement (ALR) strategies for firstorder system least-squares (FOSLS) finite element in conjunction with algebraic multi...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...
114
Voted
INDOCRYPT
2010
Springer
14 years 10 months ago
Algebraic, AIDA/Cube and Side Channel Analysis of KATAN Family of Block Ciphers
Abstract. This paper presents the first results on AIDA/cube, algebraic and sidechannel attacks on variable number of rounds of all members of the KATAN family of block ciphers. Ou...
Gregory V. Bard, Nicolas Courtois, Jorge Nakahara,...
119
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IJACTAICIT
2010
185views more  IJACTAICIT 2010»
14 years 9 months ago
Adaptive Bandwidth Allocation Scheme for Cognitive Radios
In recent past, cognitive radio has come out to as a promising solution to the spectrum scarcity problem. It tends to increase the spectrum utilization by making use of underutili...
Prabhjot Kaur, Moin Uddin, Arun Khosla