MILP formulations for unsupervised and interactive image segmentation and denoising
Saved in:
| Main Author: | |
|---|---|
| Format: | Book/Monograph Thesis |
| Language: | English |
| Published: |
Heidelberg
2018
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| DOI: | 10.11588/heidok.00025094 |
| Subjects: | |
| Online Access: | Resolving-System, kostenfrei, Volltext: http://dx.doi.org/10.11588/heidok.00025094 Resolving-System, kostenfrei, Volltext: http://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-250945 Resolving-System, Volltext: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-250945 Langzeitarchivierung Nationalbibliothek, Volltext: http://d-nb.info/1177252724/34 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/25094 Resolving-System, Unbekannt: https://doi.org/10.11588/heidok.00025094 
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| Author Notes: | vorgelegt von MSc-Math Ruobing Shen aus Jiangsu, P.R. China ; Betreuer: Prof. Dr. Gerhard Reinelt [und ein weiterer Gutachter] |
MARC
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