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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
13 years 22 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
EPIA
2005
Springer
14 years 3 months ago
An Extension of Self-organizing Maps to Categorical Data
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...
Ning Chen, Nuno C. Marques
WEA
2005
Springer
107views Algorithms» more  WEA 2005»
14 years 3 months ago
Local Clustering of Large Graphs by Approximate Fiedler Vectors
Vectors [Extended Abstract] Pekka Orponen and Satu Elisa Schaeffer Laboratory for Theoretical Computer Science, P.O. Box 5400 FI-02015 TKK Helsinki University of Technology, Finlan...
Pekka Orponen, Satu Elisa Schaeffer
SKG
2006
IEEE
14 years 3 months ago
Hierarchical Multicast Tree Algorithms of Data Grid
Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multicast algorithms...
Weijia Jia, Qingfeng Fan, Qiongli Wu, Yanxiang He
ICIP
2009
IEEE
13 years 7 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell