Name
Title | ||
|---|---|---|
An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights |
Abstract | ||
|---|---|---|
An analog VLSI pulsed neural network for image segmentation using adaptive connection weights is presented. The network marks segments in the image through synchronous firing patterns. The synchronization is achieved through adaption of connection weights. The adaption uses only local signals in a data-driven and self-organizing way. It is shown that for the proposed adaption rules a simple analog VLSI implementation is feasible due to the required local connections and the data-driven self-organizing approach. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46084-5_209 | ICANN |
Keywords | Field | DocType |
image segmentation,adaptive connection weight,network marks segment,connection weight,neural network,analog vlsi,local signal,analog vlsi pulsed neural,adaptive connection weights,proposed adaption rule,data-driven self-organizing approach,vlsi implementation,self organization | Computer vision,Synchronization,Pattern recognition,Adaptive method,Computer science,Self-organization,Image processing,Image segmentation,Artificial intelligence,Artificial neural network,Very-large-scale integration,Machine learning | Conference |
Volume | ISSN | ISBN |
2415 | 0302-9743 | 3-540-44074-7 |
Citations | PageRank | References |
4 | 0.62 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arne Heittmann | 1 | 24 | 5.94 |
| Ulrich Ramacher | 2 | 195 | 28.69 |
| Daniel Matolin | 3 | 232 | 21.01 |
| Jörg Schreiter | 4 | 9 | 2.38 |
| René Schüffny | 5 | 133 | 24.49 |