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» Robust information-theoretic clustering
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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 6 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
ICIAR
2005
Springer
15 years 3 months ago
Real-Time and Robust Background Updating for Video Surveillance and Monitoring
Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequ...
Xingzhi Luo, Suchendra M. Bhandarkar
CLUSTER
2006
IEEE
15 years 3 months ago
Robust task scheduling in non-deterministic heterogeneous computing systems
The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
Zhiao Shi, Emmanuel Jeannot, Jack Dongarra
CLUSTER
2003
IEEE
15 years 3 months ago
A Robust Scheduling Strategy for Moldable Scheduling of Parallel Jobs
Moldable job scheduling has been proved to be effective compared to traditionaljob scheduling policies. It is based on the observation that most jobs submitted to a spaceshared pa...
Sudha Srinivasan, Sriram Krishnamoorthy, P. Sadaya...
VIP
2003
14 years 11 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin