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NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 7 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
EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
14 years 1 months ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
ICWN
2004
13 years 9 months ago
Securing Data Transmissions and Retransmissions Management in Ad Hoc Networks
We present in this paper a solution exploiting existence of multiple paths between nodes to secure data in Ad hoc networks. This solution is also designed in the aim to give the ne...
Souheila Bouam, Jalel Ben-Othman
ECCV
2008
Springer
14 years 9 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
AUSAI
2006
Springer
13 years 11 months ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams