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BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ICPR
2006
IEEE
16 years 7 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
16 years 5 days ago
Planning 3-D Path Networks in Unstructured Environments
Abstract— In this paper, we explore the problem of threedimensional motion planning in highly cluttered and unstructured outdoor environments. Because accurate sensing and modeli...
Nicolas Vandapel, James Kuffner, Omead Amidi
INFOCOM
2005
IEEE
16 years 5 days ago
The impact of imperfect scheduling on cross-layer rate control in wireless networks
— In this paper, we study cross-layer design for rate control in multihop wireless networks. In our previous work, we have developed an optimal cross-layered rate control scheme ...
Xiaojun Lin, Ness B. Shroff
WIOPT
2005
IEEE
16 years 4 days ago
Analysis of a Reputation System for Mobile Ad-Hoc Networks with Liars
Using decentralized reputation systems is a promising approach to ensuring cooperation and fairness in Mobile Ad-Hoc Networks. However, they are vulnerable to liars and robustness...
Jochen Mundinger, Jean-Yves Le Boudec