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» Real-Time Feature Extraction for High Speed Networks
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KES
2007
Springer
15 years 3 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
TMA
2010
Springer
314views Management» more  TMA 2010»
15 years 4 months ago
On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
Peter Romirer-Maierhofer, Angelo Coluccia, Tobias ...
95
Voted
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 3 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ECCV
2010
Springer
15 years 2 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
CSAC
2006
14 years 11 months ago
Managing Network Troubles while Interacting within Collaborative Virtual Environments
Abstract. We are interested in real time collaborative interactions within Collaborative Virtual Environments (CVE). This domain relies on the low latency offered by high speed net...
Thierry Duval, Chadi El Zammar