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» Completeness and Performance Of The APO Algorithm
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CORR
2011
Springer
172views Education» more  CORR 2011»
14 years 9 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
14 years 6 months 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»
15 years 2 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
15 years 6 months 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»
15 years 2 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