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» Proving Time Bounds for Randomized Distributed Algorithms
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ICASSP
2008
IEEE
15 years 11 months ago
Performance characteristics of collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes
Collaborative beamforming has been recently introduced in the context of wireless sensor networks (WSNs) to increase the transmission range of individual sensor nodes. In this pap...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov
149
Voted
3DIM
2001
IEEE
15 years 8 months ago
The Parallel Iterative Closest Point Algorithm
This paper describes a parallel implementation developed to improve the time performance of the Iterative Closest Point Algorithm. Within each iteration, the correspondence calcul...
Christian Langis, Michael A. Greenspan, Guy Godin
SIGAL
1990
273views Algorithms» more  SIGAL 1990»
15 years 9 months ago
Randomized Broadcast in Networks
We propose and analyse a quasirandom analogue to the classical push model for disseminating information in networks ("randomized rumor spreading"). In the classical mode...
Uriel Feige, David Peleg, Prabhakar Raghavan, Eli ...
FOCS
2008
IEEE
15 years 11 months ago
Learning Geometric Concepts via Gaussian Surface Area
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
CORR
2010
Springer
68views Education» more  CORR 2010»
15 years 5 months ago
Johnson-Lindenstrauss lemma for circulant matrices
We prove a variant of a Johnson-Lindenstrauss lemma for matrices with circulant structure. This approach allows to minimise the randomness used, is easy to implement and provides ...
Aicke Hinrichs, Jan Vybíral