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CIKM
2010
Springer
13 years 6 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
CVPR
2003
IEEE
14 years 9 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak
ESA
2003
Springer
116views Algorithms» more  ESA 2003»
14 years 22 days ago
Smoothed Motion Complexity
We propose a new complexity measure for movement of objects, the smoothed motion complexity. Many applications are based on algorithms dealing with moving objects, but usually data...
Valentina Damerow, Friedhelm Meyer auf der Heide, ...