Name
Abstract | ||
|---|---|---|
This paper aims to address the ability of self-organizing neural network models to manage video and image processing in real-time. The Growing Neural Gas networks (GNG) with its attributes of growth, flexibility, rapid adaptation, and excellent quality representation of the input space makes it a suitable model for real time applications. A number of applications are presented that includes: image compression, hand and medical image contours representation, surveillance systems, hand gesture recognition systems or 3D data reconstruction. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21498-1_13 | IWANN (2) |
Keywords | Field | DocType |
neural gas network,input space,hand gesture recognition system,rapid adaptation,image processing,image compression,excellent quality representation,medical image contours representation,neural network model,data reconstruction | Computer vision,Pattern recognition,Data reconstruction,Computer science,Gesture recognition,Image processing,Time delay neural network,Artificial intelligence,Artificial neural network,Machine learning,Neural gas,Image compression | Conference |
Volume | ISSN | Citations |
6692 | 0302-9743 | 3 |
PageRank | References | Authors |
0.43 | 12 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José García Rodríguez | 1 | 192 | 29.10 |
| Enrique Domínguez | 2 | 133 | 21.24 |
| Anastassia Angelopoulou | 3 | 102 | 21.29 |
| Alexandra Psarrou | 4 | 199 | 27.14 |
| Francisco José Mora-Gimeno | 5 | 12 | 2.28 |
| Sergio Orts | 6 | 27 | 2.69 |
| Juan Manuel García-Chamizo | 7 | 72 | 8.98 |