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NN
2006
Springer
113views Neural Networks» more  NN 2006»
15 years 6 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
IJCNN
2000
IEEE
15 years 10 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
IMCSIT
2010
15 years 4 months ago
BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents
Abstract--The paper presents an architecture and implementation that allows distributed execution of workflow applications in BeesyCluster using agents. BeesyCluster is a middlewar...
Pawel Czarnul, Mariusz R. Matuszek, Michal W&oacut...
PDP
2008
IEEE
16 years 1 months ago
Routing Performance in a Hierarchical DHT-based Overlay Network
The scalability properties of DHT based overlay networks is considered satisfactory. However, in large scale systems this might still cause a problem since they have a logarithmic...
Isaías Martinez-Yelmo, Rubén Cuevas ...
BIOCOMP
2010
15 years 4 months ago
A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images
- We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection ...
Ömer M. Soysal, Jianhua Chen, Steven Bujenovi...