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Image to text translation by multi-label classification
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posted on 2010-01-01, 00:00 authored by Gulisong NasierdingGulisong Nasierding, Abbas KouzaniAbbas KouzaniThis paper presents an image to text translation platform consisting of image segmentation, region features extraction, region blobs clustering, and translation components. A multi-label learning method is suggested for realizing the translation component. Empirical studies show that the predictive performance of the translation component is better than its counterparts when employed a dual-random ensemble multi-label classification algorithm.
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Title of book
Advanced intelligent computing theories and applications : with aspects of artificial intelligenceSeries
Lecture notes in artificial intelligence; v.6216Chapter number
31Pagination
247 - 254Publisher
Springer-Verlag Berlin HeidelbergPlace of publication
Heidelberg, GermanyPublisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783642149313ISBN-10
3642149316Language
engPublication classification
B1 Book chapterCopyright notice
2010, Springer-VerlagExtent
84Editor/Contributor(s)
R Goebel, J Siekmann, W WahlsterUsage metrics
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