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A Hierarchical Self-Organizing Map Model for Sequence Recognition

✍ Scribed by Otávio Augusto s. Carpinteiro

Book ID
110374098
Publisher
Springer US
Year
1999
Tongue
English
Weight
77 KB
Volume
9
Category
Article
ISSN
1370-4621

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Hypercolumn model: A combination model o
Hypercolumn model: A combination model of hierarchical self-organizing maps and neocognitron for image recognition
✍ Naoyuki Tsuruta; Rin-ichiro Taniguchi; Makoto Amamiya 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 702 KB

In this paper, a neural network model, the hypercolumn model (HCM), which is applicable to general image recognition, is proposed. The HCM is a combination model of hierarchical self-organizing maps (HSOM) and neocognitron (NC); it resolves the disadvantages of both the HSOM and the NC, and inherits