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ICPR
2008
IEEE
16 years 27 days ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
ICANN
2009
Springer
15 years 4 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...
IJCNN
2000
IEEE
15 years 3 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
NN
2006
Springer
127views Neural Networks» more  NN 2006»
14 years 11 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
ICANN
2001
Springer
15 years 4 months ago
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
EEG segments recorded during microsleep events were transformed to the frequency domain and were subsequently clustered without the common summation of power densities in spectral ...
David Sommer, Martin Golz