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CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 2 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
WSC
2008
13 years 9 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
IFIP
2004
Springer
14 years 26 days ago
A Randomised Algorithm for Checking the Normality of Cryptographic Boolean Functions
Abstract A Boolean function is called normal if it is constant on flats of certain dimensions. This property is relevant for the construction and analysis of cryptosystems. This p...
An Braeken, Christopher Wolf, Bart Preneel
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 2 months ago
Optimal Column-Based Low-Rank Matrix Reconstruction
We prove that for any real-valued matrix X ∈ Rm×n , and positive integers r k, there is a subset of r columns of X such that projecting X onto their span gives a r+1 r−k+1 -a...
Venkatesan Guruswami, Ali Kemal Sinop
ICA
2007
Springer
14 years 1 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...