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0459332 - ÚTIA 2017 RIV NL eng J - Journal Article
Šorel, Michal - Šroubek, Filip
Fast convolutional sparse coding using matrix inversion lemma.
Digital Signal Processing. Roč. 55, č. 1 (2016), s. 44-51. ISSN 1051-2004. E-ISSN 1095-4333
R&D Projects: GA ČR GA13-29225S
Institutional support: RVO:67985556
Keywords : Convolutional sparse coding * Feature learning * Deconvolution networks * Shift-invariant sparse coding
Subject RIV: JD - Computer Applications, Robotics
Impact factor: 2.337, year: 2016
http://library.utia.cas.cz/separaty/2016/ZOI/sorel-0459332.pdf
Permanent Link: http://hdl.handle.net/11104/0259700