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» Algorithms for estimating relative importance in networks
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MOBICOM
2006
ACM
14 years 28 days ago
Localization in underwater sensor networks: survey and challenges
In underwater sensor networks (UWSNs), determining the location of every sensor is important and the process of estimating the location of each node in a sensor network is known a...
Vijay R. Chandrasekhar, Winston Khoon Guan Seah, Y...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 7 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
14 years 1 months ago
On frame and orientation localization for relative sensing networks
We develop a novel localization theory for planar networks of nodes that measure each other’s relative position, i.e., we assume that nodes do not have the ability to perform me...
Giulia Piova, Iman Shames, Baris Fidan, Francesco ...
JMLR
2012
11 years 9 months ago
Hierarchical Relative Entropy Policy Search
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
Christian Daniel, Gerhard Neumann, Jan Peters
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
14 years 8 months ago
Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
Raphaël Chand, Pascal Felber, Minos N. Garofa...