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» Predicting Lattice Reduction
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IGARSS
2010
15 years 1 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...
CALCO
2009
Springer
161views Mathematics» more  CALCO 2009»
15 years 10 months ago
Free Heyting Algebras: Revisited
Abstract. We use coalgebraic methods to describe finitely generated free Heyting algebras. Heyting algebras are axiomatized by rank 0-1 axioms. In the process of constructing free...
Nick Bezhanishvili, Mai Gehrke
128
Voted
ISSAC
2009
Springer
144views Mathematics» more  ISSAC 2009»
15 years 10 months ago
H-LLL: using householder inside LLL
We describe a new LLL-type algorithm, H-LLL, that relies on Householder transformations to approximate the underlying Gram-Schmidt orthogonalizations. The latter computations are ...
Ivan Morel, Damien Stehlé, Gilles Villard
146
Voted
GLOBECOM
2008
IEEE
15 years 10 months ago
Low-Complexity Maximum Likelihood Detection of Orthogonal Space-Time Block Codes
Abstract— In this paper, we propose a low complexity Maximum Likelihood (ML) decoding algorithm for orthogonal spacetime block codes (OSTBCs) based on the real-valued lattice rep...
Luay Azzam, Ender Ayanoglu
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
15 years 10 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang