Partial pattern recognition and classification using the scatter degree technique and neural networks.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/jirs/YuV92
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/jirs/YuV92
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dc:
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<
https://dblp.l3s.de/d2r/resource/authors/Anastasios_N._Venetsanopoulos
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dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Ping_Yu_0010
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foaf:
homepage
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http://dx.doi.org/doi.org%2F10.1007%2FBF00247422
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dc:
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DBLP journals/jirs/YuV92
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dc:
identifier
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dcterms:
issued
1992
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swrc:
journal
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rdfs:
label
Partial pattern recognition and classification using the scatter degree technique and neural networks.
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https://dblp.l3s.de/d2r/resource/authors/Anastasios_N._Venetsanopoulos
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https://dblp.l3s.de/d2r/resource/authors/Ping_Yu_0010
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swrc:
number
3
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swrc:
pages
271-282
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rdfs:
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dc:
subject
Scatter degree technique; local features; object classification; neural networks; object recognition
(xsd:string)
dc:
title
Partial pattern recognition and classification using the scatter degree technique and neural networks.
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5
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