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» SARDNET: A Self-Organizing Feature Map for Sequences
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NIPS
1994
13 years 5 months ago
SARDNET: A Self-Organizing Feature Map for Sequences
A self-organizing neural network for sequence classification called SARDNET is described and analyzed experimentally. SARDNET extends the Kohonen Feature Map architecture with act...
Daniel L. James, Risto Miikkulainen
CIBCB
2005
IEEE
13 years 10 months ago
Toward Protein Structure Analysis with Self-Organizing Maps
- Establishing structure-function relationships on the proteomic scale is a unique challenge faced by bioinformatics and molecular biosciences. Large protein families represent nat...
Lutz Hamel, Gongqin Sun, Jing Zhang
ICANN
2007
Springer
13 years 10 months ago
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
George Caridakis, Christos Pateritsas, Athanasios ...
IJCNN
2000
IEEE
13 years 8 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
13 years 6 months 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