2007
Journal article  Open Access

CLeMUS - Computational Learning Methods for Unsupervised Segmentation

Salerno E., Wilson S.

Unsupervised segmentation 

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.

Source: ERCIM news 71 (2007).

Publisher: ERCIM., Le Chesnay



Back to previous page
BibTeX entry
@article{oai:it.cnr:prodotti:68400,
	title = {CLeMUS - Computational Learning Methods for Unsupervised Segmentation},
	author = {Salerno E. and Wilson S.},
	publisher = {ERCIM., Le Chesnay},
	journal = {ERCIM news},
	volume = {71},
	year = {2007}
}