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» Complexity at large
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198
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CIE
2004
Springer
15 years 7 months ago
University of Southern California's Institute for Creative Technologies
When dealing with large, distributed systems that use state-of-the-art components, individual components are usually developed in parallel. As development continues, the decouplin...
Michael van Lent
272
Voted
CGA
2002
15 years 7 months ago
Image/Based Crowd Rendering
Populated urban environments are very important in many applications such as urban planning and entertainment. However rendering in real time many people in a complex environment ...
Franco Tecchia, Céline Loscos, Yiorgos Chry...
COLING
2002
15 years 7 months ago
Unsupervised Learning of Generalized Names
We present an algorithm, Nomen, for learning generalized names in text. Examples of these are names of diseases and infectious agents, such as bacteria and viruses. These names ex...
Roman Yangarber, Winston Lin, Ralph Grishman
COMCOM
2007
156views more  COMCOM 2007»
15 years 7 months ago
A survey on clustering algorithms for wireless sensor networks
The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in applications such as disaster management, combat field reconnaissa...
Ameer Ahmed Abbasi, Mohamed F. Younis
162
Voted
IJON
2000
76views more  IJON 2000»
15 years 7 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina