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ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
14 years 1 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
ICPPW
2002
IEEE
14 years 11 days ago
Hierarchical Restoration Scheme for Multiple Failures in GMPLS Networks
Abstract—It is expected that GMPLS-based recovery could become a viable option for obtaining faster restoration than layer 3 rerouting. Even though dedicated restoration ensures ...
SuKyoung Lee, Chul Kim, David W. Griffith
IPSN
2003
Springer
14 years 18 days ago
Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
ISDA
2010
IEEE
13 years 5 months ago
Feature selection is the ReliefF for multiple instance learning
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 7 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim