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CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 4 months ago
Improving Strategies via SMT Solving
We consider the problem of computing numerical invariants of programs by abstract interpretation. Our method eschews two traditional sources of imprecision: (i) the use of widenin...
Thomas Martin Gawlitza, David Monniaux
ICASSP
2011
IEEE
13 years 25 days ago
A combinatorial optimization framework for subset selection in distributed multiple-radar architectures
Abstract—Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization...
Hana Godrich, Athina P. Petropulu, H. Vincent Poor
TNN
1998
111views more  TNN 1998»
13 years 8 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
DSN
2004
IEEE
14 years 25 days ago
Fault Tolerant Computation on Ensemble Quantum Computers
In ensemble (or bulk) quantum computation, all computations are performed on an ensemble of computers rather than on a single computer. Measurements of qubits in an individual com...
P. Oscar Boykin, Vwani P. Roychowdhury, Tal Mor, F...
CORR
2008
Springer
77views Education» more  CORR 2008»
13 years 9 months ago
Optimal hash functions for approximate closest pairs on the n-cube
One way to find closest pairs in large datasets is to use hash functions [6], [12]. In recent years locality-sensitive hash functions for various metrics have been given: projecti...
Daniel M. Gordon, Victor Miller, Peter Ostapenko