Measuring GNG Topology Preservation in Computer Vision Applications

Self-organizing neural networks try to preserve the topology of an input space by means of their competitive learning. This capacity has been used, among others, for the representation of objects and their motion. In addition, these applications usually have real-time constraints. In this work we ha...

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Bibliographische Detailangaben

Hauptverfasser:	Rodríguez, José García, Flórez-Revuelta, Francisco, Chamizo, Juan Manuel García
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Competitive Learning Computer science control theory systems Computer Vision Application Exact sciences and technology Gesture Recognition Hand Gesture Recognition Information systems. Data bases Input Space Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Software
Online-Zugang:	Volltext
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