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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 4 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICPR
2010
IEEE
15 years 6 months ago
Entropy Estimation and Multi-Dimensional Scale Saliency
In this paper we survey two multi-dimensional Scale Saliency approaches based on graphs and the k-d partition algorithm. In the latter case we introduce a new divergence metric an...
Pablo Suau, Francisco Escolano
BTW
2007
Springer
189views Database» more  BTW 2007»
15 years 10 months ago
Reconsidering Consistency Management in Shared Data Spaces for Emergency and Rescue Applications
: Efficient information sharing is very important for emergency and rescue operations. These operations often have to be performed in environments where no communication infrastruc...
Thomas Plagemann, Ellen Munthe-Kaas, Vera Goebel
MLMTA
2007
15 years 5 months ago
Consensus Based Ensembles of Soft Clusterings
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
Kunal Punera, Joydeep Ghosh
DATE
2008
IEEE
114views Hardware» more  DATE 2008»
15 years 10 months ago
Synthesis of Fault-Tolerant Embedded Systems
This work addresses the issue of design optimization for faulttolerant hard real-time systems. In particular, our focus is on the handling of transient faults using both checkpoin...
Petru Eles, Viacheslav Izosimov, Paul Pop, Zebo Pe...