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CLeMUS - Computational Learning Methods for Unsupervised Segmentation

Articolo
Data di Pubblicazione:
2007
Abstract:
An invited session on computational learning methods for unsupervised segmentation was held on 14 September in the framework of the 11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2007) in Vietri sul Mare, Italy. This initiative was taken by the MUSCLE 'e-team' on unsupervised segmentation and classification of multichannel data. MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) is a European network of excellence managed by ERCIM.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Unsupervised segmentation
Elenco autori:
Salerno, Emanuele
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/62976
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/62976/85454/prod_68400-doc_130461.pdf
Pubblicato in:
ERCIM NEWS
Journal
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URL

http://ercim-news.ercim.org/images/stories/EN71/EN71-web.pdf
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