Learning Big (Image) Data via Coresets for Dictionaries

Learning Big (Image) Data via Coresets for Dictionaries

Signal and image processing have seen an explosion of interest in the last few years in a new form of signal/image characterization via the concept of sparsity with respect to a dictionary. An active field of research is dictionary learning: the representation of a given large set of vectors (e.g. s...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Sochen, Nir, Feldman, Dan, Feigin-Almon, Micha
Kolejni autorzy:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Artykuł
Język:	English
Wydane:	Springer US 2016
Dostęp online:	http://hdl.handle.net/1721.1/105528 https://orcid.org/0000-0001-7649-9539

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