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» Measuring and extracting proximity in networks
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CONEXT
2009
ACM
13 years 8 months ago
Macroscope: end-point approach to networked application dependency discovery
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to ma...
Lucian Popa 0002, Byung-Gon Chun, Ion Stoica, Jaid...
SIGIR
2003
ACM
14 years 28 days ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
IJCNN
2006
IEEE
14 years 1 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
IMC
2009
ACM
14 years 2 months ago
Understanding online social network usage from a network perspective
Online Social Networks (OSNs) have already attracted more than half a billion users. However, our understanding of which OSN features attract and keep the attention of these users...
Fabian Schneider, Anja Feldmann, Balachander Krish...
VLDB
2007
ACM
131views Database» more  VLDB 2007»
14 years 8 months ago
Dissemination of compressed historical information in sensor networks
Sensor nodes are small devices that "measure" their environment and communicate feeds of low-level data values to a base station for further processing and archiving. Dis...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...