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MCS
2010
Springer
15 years 8 months ago
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
Wan-Jui Lee, Robert P. W. Duin, Horst Bunke
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 4 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
ICCAD
2006
IEEE
107views Hardware» more  ICCAD 2006»
16 years 3 months ago
Current path analysis for electrostatic discharge protection
The electrostatic discharge (ESD) problem has become a challenging reliability issue in nanometer circuit design. High voltages resulted from ESD might cause high current densitie...
Hung-Yi Liu, Chung-Wei Lin, Szu-Jui Chou, Wei-Ting...
ICC
2008
IEEE
127views Communications» more  ICC 2008»
16 years 1 months ago
On the Devolution of Large-Scale Sensor Networks in the Presence of Random Failures
—In battery-constrained large-scale sensor networks, nodes are prone to random failures due to various reasons, such as energy depletion and hostile environment. Random failures ...
Fei Xing, Wenye Wang