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FGCS
2006
82views more  FGCS 2006»
14 years 10 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
TWC
2008
104views more  TWC 2008»
14 years 10 months ago
Multiple symbol differential detection for UWB communications
In ultra-wideband (UWB) communications, the typical signal propagation through dense multipath fading offers potentially very large multipath diversity, but at the same time compl...
Vincenzo Lottici, Zhi Tian
76
Voted
CGF
2004
114views more  CGF 2004»
14 years 10 months ago
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...
70
Voted
NPL
2000
95views more  NPL 2000»
14 years 10 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
107
Voted
TSP
2010
14 years 4 months ago
Joint time synchronization and localization of an unknown node in wireless sensor networks
Abstract--Time synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditional...
Jun Zheng, Yik-Chung Wu