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Sparse feature learning for condition monitoring
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
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-39173Local ID: dd07daa5-7e16-430e-b7b0-cc1587fdd751OAI: oai:DiVA.org:ltu-39173DiVA: 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: 2016-10-03Bibliographically approved

Open Access in DiVA

fulltext(186 kB)76 downloads
File information
File name FULLTEXT01.pdfFile size 186 kBChecksum SHA-512
9fd618e76c46152a8297eb6becb75fc3c8a0569d854db43fe8c8bc4d5bc88db0ff71e5710eb09f5b53e05a7e303e0e5451a317972d5d54a266f3685eaa7c2fd1
Type fulltextMimetype application/pdf

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Barraza, Sergio Martin Del CampoSandin, Fredrik
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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