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AAAI
2008
13 years 9 months ago
Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance
We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
Ricardo M. Araujo, Luís C. Lamb
IROS
2006
IEEE
90views Robotics» more  IROS 2006»
14 years 1 months ago
Multiscale Sensing: A new paradigm for actuated sensing of high frequency dynamic phenomena
Abstract— Many environmental applications require high frequency, spatiotemporally distributed phenomena to be sampled with high fidelity. This requires mobile sensing elements ...
Amarjeet Singh 0003, Diane Budzik, Willie Chen, Ma...
NPL
2002
145views more  NPL 2002»
13 years 7 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
TWC
2010
13 years 2 months ago
Optimized Training Sequences for Spatially Correlated MIMO-OFDM
In this paper, the training sequence design for multiple-input multiple-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems under the minimum mean square error (...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen, Viet...
CPHYSICS
2010
135views more  CPHYSICS 2010»
13 years 7 months ago
An events based algorithm for distributing concurrent tasks on multi-core architectures
In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
David W. Holmes, John R. Williams, Peter Tilke