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» Experiments on Graph Clustering Algorithms
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IWCMC
2006
ACM
14 years 3 months ago
Performance of Taroko: a cluster-based addressing and routing scheme for self-organized networks
Self-Organized Networks (SONs) are a general description of autonomous networks without infrastructure, of which Ad Hoc, Sensor and Mesh networks are special cases. We had previou...
Julien Ridoux, Meriem Kassar, Mathias Boc, Anne Fl...
NIPS
2004
13 years 11 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
IJAR
2006
89views more  IJAR 2006»
13 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
AMS
2005
Springer
107views Robotics» more  AMS 2005»
14 years 3 months ago
Elastic View Graphs: A new Framework for Sequential 3D-SLAM
This paper presents a new approach for incremental 3D SLAM from segmented range images with unknown feature association. For feature and motion tracking, an any-time interpretation...
Peter Kohlhepp, Marcus Walther
WABI
2005
Springer
14 years 3 months ago
Improved Maintenance of Molecular Surfaces Using Dynamic Graph Connectivity
We present recent developments in efficiently maintaining the boundary and surface area of protein molecules as they undergo conformational changes. As the method that we devised k...
Eran Eyal, Dan Halperin