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, vol. 71



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},
	year = {2007}
}