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IPSN
2004
Springer
15 years 5 months ago
Lattice sensor networks: capacity limits, optimal routing and robustness to failures
We study network capacity limits and optimal routing algorithms for regular sensor networks, namely, square and torus grid sensor networks, in both, the static case (no node failu...
Guillermo Barrenechea, Baltasar Beferull-Lozano, M...
ICASSP
2011
IEEE
14 years 3 months ago
On optimal channel training for uplink network MIMO systems
We study a multi-cell frequency-selective fading uplink channel from K user terminals (UTs) to B base stations (BSs). The BSs, assumed to be oblivious of the applied encoding sche...
Jakob Hoydis, Mari Kobayashi, Mérouane Debb...
ICIP
1998
IEEE
16 years 1 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 9 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim