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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Minimal partitions and image classification using a gradient-free perimeter approximation

Participants in the publication
Samuel Amstutz (Author)
Antonio André Novotny (Author)
Nicolas Van Goethem (Author)
Dep. Matemática
 CMAFcIO
Date of Publication
2014

Where published
Inverse Problems & Imaging

Publication Identifiers

Publisher
American Institute of Mathematical Sciences (AIMS)

Volume
8
Number
2

Number of pages
27
Starting page
361
Last page
387

Document Identifiers
DOI - https://doi.org/10.3934/ipi.2014.8.361
URL - http://dx.doi.org/10.3934/ipi.2014.8.361


Export

APA
Samuel Amstutz, Antonio André Novotny, Nicolas Van Goethem, (2014). Minimal partitions and image classification using a gradient-free perimeter approximation. Inverse Problems & Imaging, 8, 361-387. http://dx.doi.org/10.3934/ipi.2014.8.361

IEEE
Samuel Amstutz, Antonio André Novotny, Nicolas Van Goethem, "Minimal partitions and image classification using a gradient-free perimeter approximation" in Inverse Problems & Imaging, vol. 8, pp. 361-387, 2014. 10.3934/ipi.2014.8.361

BIBTEX
@article{61807, author = {Samuel Amstutz and Antonio André Novotny and Nicolas Van Goethem}, title = {Minimal partitions and image classification using a gradient-free perimeter approximation}, journal = {Inverse Problems & Imaging}, year = 2014, pages = {361-387}, volume = 8 }