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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/acling/ChineyPDKKKS21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Abhinandan_Chiney>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Anwesh_Reddy_Paduri>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ishan_Kohli>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Malarvizhi_Subramaniyan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Manish_Kadam>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Narayana_Darapaneni>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Santosh_Kulkarni>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.procs.2021.05.095>
foaf:homepage <https://doi.org/10.1016/j.procs.2021.05.095>
dc:identifier DBLP conf/acling/ChineyPDKKKS21 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.procs.2021.05.095 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Handwritten Data Digitization Using an Anchor based Multi-Channel CNN (MCCNN) Trained on a Hybrid Dataset (h-EH). (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Abhinandan_Chiney>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Anwesh_Reddy_Paduri>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ishan_Kohli>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Malarvizhi_Subramaniyan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Manish_Kadam>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Narayana_Darapaneni>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Santosh_Kulkarni>
swrc:pages 175-182 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/acling/2021>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/acling/ChineyPDKKKS21/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/acling/ChineyPDKKKS21>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/acling/acling2021.html#ChineyPDKKKS21>
rdfs:seeAlso <https://doi.org/10.1016/j.procs.2021.05.095>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/acling>
dc:title Handwritten Data Digitization Using an Anchor based Multi-Channel CNN (MCCNN) Trained on a Hybrid Dataset (h-EH). (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document