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» Decision making in very large networks
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MM
2009
ACM
221views Multimedia» more  MM 2009»
14 years 3 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
ECAI
2008
Springer
13 years 10 months ago
Using Natural Language Generation Technology to Improve Information Flows in Intensive Care Units
In the drive to improve patient safety, patients in modern intensive care units are closely monitored with the generation of very large volumes of data. Unless the data are further...
Jim Hunter, Albert Gatt, François Portet, E...
ATAL
2008
Springer
13 years 10 months ago
Pan-supplier stock control in a virtual warehouse
We describe the commercial application of agents to the handling of catalogue and stock-control for the selling of books on the internet. The primary characteristic of the target ...
Emad El-Deen El-Akehal, Julian A. Padget
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...