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Multi-Label Classification Methods for Image Annotation
BRHANIE, BEKALU MULLU
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2016 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2016.
Keywords [en]
Image annotation, Empirical study, Multi-label learning, classification, Machine Learning, Image Analysis.
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-13725
OAI: oai:DiVA.org:bth-13725
DiVA, id:
diva2:1062353
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Available from:
2017-01-05
Created:
2017-01-05
Last updated:
2018-01-13
Bibliographically approved
Open Access in DiVA
fulltext
(455 kB)
1380 downloads
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FULLTEXT01.pdf
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455 kB
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c4f90ba3ffa23cb8974d015b0ebc42485431a21d0b18cef3f9f3181eb090520c878fd94885f3145f323c5cbffd79b8d641160860e30162fb320ee3db51add071
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fulltext
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Department of Computer Science and Engineering
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Computer Sciences
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Total: 1384 downloads
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Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1062353
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
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html
text
asciidoc
rtf
html
text
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rtf
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