Referenced Items are not available for this document.
We propose a numerical procedure for approximating an analog diffusion network. The main idea, is to take advantage of the “separable” feature (of the noise) of the diffusion machine and use parallel processing method to develop recursive algorithms. In addition to the decreasing step size algorithm, constant step algorithms and procedures with periodic restarts are suggested. By means of weak convergence methods, the convergence of the algorithms is established. The algorithms may be useful for many large-scale optimization problems, including image segmentation
Published in:
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
(Volume:2
)
Date of Conference: 11-13 Dec 1996
- Page(s):
- 2130 - 2135 vol.2
- Meeting Date :
- 11 Dec 1996-13 Dec 1996
- ISSN :
- 0191-2216
- Print ISBN:
- 0-7803-3590-2
- INSPEC Accession Number:
- 5534208
- Conference Location :
- Kobe
- Digital Object Identifier :
- 10.1109/CDC.1996.572924
- Product Type:
- Conference Publications
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