Traffic sign classifier adaption by semi-supervised co-training

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7477 LNAI, Issue , 2012, Pages 193-200

  Hillebrand, Matthias ^a   Kreßel, Ulrich ^a   Wöhler, Christian ^b   Kummert, Franz ^c  

^a DAIMLER AG   (Germany)

^b TU DORTMUND UNIVERSITY   (Germany)

^c BIELEFELD UNIVERSITY   (Germany)

Author keywords

co training; self training; semi supervised

Indexed keywords

CO-TRAINING; DRIVER ASSISTANCE SYSTEM; EUROPEAN COUNTRIES; MULTI-CLASSIFIER; SELF-TRAINING; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING METHODS; STATISTICAL PATTERN CLASSIFICATION; TRAINING DATA; TRAINING METHODS;

NEURAL NETWORKS; PATTERN RECOGNITION; SUPERVISED LEARNING; TRAFFIC SIGNS;

CLASSIFICATION (OF INFORMATION);

EID: 84867628016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33212-8_18     Document Type: Conference Paper

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