A semi-supervised ensemble learning approach for character labeling with minimal human effort

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 259-263

  Vajda, Sziĺrd ^a   Junaidi, Akmal ^a   Fink, Gernot A ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

ensemble learning; Lampung characters; semi supervised character labeling; unsupervised clustering

Indexed keywords

ABSTRACTION LEVEL; BENCHMARK DATASETS; DATA SETS; ENSEMBLE LEARNING; ENSEMBLE LEARNING APPROACH; GROUND TRUTH; HAND WRITTEN CHARACTER RECOGNITION; HUMAN EXPERT; K-NEAREST NEIGHBOR CLASSIFIER; LAMPUNG CHARACTERS; RECOGNITION RATES; SEMI-AUTOMATICS; SEMI-SUPERVISED; TRAINING DATA; UNSUPERVISED CLUSTERING;

CHARACTER RECOGNITION;

EID: 82355168660     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.60     Document Type: Conference Paper

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