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Sparse feature learning for condition monitoring
Martin-del-Campo, Sergio
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0001-6099-3882
Sandin, Fredrik
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0001-5662-825X
2014 (English)
Conference paper, Poster (with or without abstract) (Other academic)
Place, publisher, year, edition, pages
2014.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
URN:
urn:nbn:se:ltu:diva-39173
Local ID: dd07daa5-7e16-430e-b7b0-cc1587fdd751
OAI: oai:DiVA.org:ltu-39173
DiVA, id:
diva2:1012682
Conference
Machine Learning Summer School 2014 : 25/04/2014 - 04/05/2014
Note
Godkänd; 2014; 20140513 (sermar)
Available from:
2016-10-03
Created:
2016-10-03
Last updated:
2023-09-05
Bibliographically approved
Open Access in DiVA
fulltext
(186 kB)
292 downloads
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FULLTEXT01.pdf
File size
186 kB
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SHA-512
9fd618e76c46152a8297eb6becb75fc3c8a0569d854db43fe8c8bc4d5bc88db0ff71e5710eb09f5b53e05a7e303e0e5451a317972d5d54a266f3685eaa7c2fd1
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fulltext
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application/pdf
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Martin-del-Campo, Sergio
Sandin, Fredrik
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Martin-del-Campo, Sergio
Sandin, Fredrik
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Total: 292 downloads
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Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-39173
Direct link
http://ltu.diva-portal.org/smash/record.jsf?pid=diva2:1012682
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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en-GB
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