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» Online Latent Variable Detection in Sensor Networks
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ICDE
2005
IEEE
111views Database» more  ICDE 2005»
14 years 6 months ago
Online Latent Variable Detection in Sensor Networks
Sensor networks attract increasing interest, for a broad range of applications. Given a sensor network, one key issue becomes how to utilize it efficiently and effectively. In par...
Jimeng Sun, Spiros Papadimitriou, Christos Falouts...
NIPS
2008
13 years 6 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence
WWW
2010
ACM
13 years 12 months ago
Modeling relationship strength in online social networks
Previous work analyzing social networks has mainly focused on binary friendship relations. However, in online social networks the low cost of link formation can lead to networks w...
Rongjing Xiang, Jennifer Neville, Monica Rogati
AINA
2009
IEEE
13 years 7 months ago
Adaptive and Online One-Class Support Vector Machine-Based Outlier Detection Techniques for Wireless Sensor Networks
Outlier detection in wireless sensor networks is essential to ensure data quality, secure monitoring and reliable detection of interesting and critical events. A key challenge for...
Yang Zhang, Nirvana Meratnia, Paul J. M. Havinga
ICDE
2005
IEEE
180views Database» more  ICDE 2005»
14 years 6 months ago
A Unified Framework for Monitoring Data Streams in Real Time
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Ahmet Bulut, Ambuj K. Singh