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ICANN
1997
Springer
14 years 3 months ago
A Recurrent Self-Organizing Map for Temporal Sequence Processing
Markus Varsta, José del R. Millán, J...
IDA
1998
Springer
13 years 10 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
IJCNN
2000
IEEE
14 years 2 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
ESANN
2003
14 years 8 days ago
Unsupervised Recursive Sequence Processing
We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sperduti [7] and the hyperbolic neighborhood of Ritter [5]. ...
Marc Strickert, Barbara Hammer
ESANN
2000
14 years 7 days ago
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correc...
Markus Varsta, Jukka Heikkonen, Jouko Lampinen