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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...
ICIP
2006
IEEE
16 years 8 months ago
Texture Classification with Ants
In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The propo...
Arshad Hussain, Nasir Rajpoot, Kashif Rajpoot
PERCOM
2009
ACM
16 years 7 months ago
High Accuracy Context Recovery using Clustering Mechanisms
This paper examines the recovery of user context in indoor environments with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extra...
Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venka...
AINA
2009
IEEE
16 years 1 months ago
Medium Access Control in Large Scale Clusters for Wireless Sensor Networks
—One of the main advantages of clustering algorithms is the ability to allow networks to be physically divided into smaller regions, thereby increasing the theoretical maximum nu...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
COMSWARE
2006
IEEE
16 years 13 days ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra