What helps where - and why? Semantic relatedness for knowledge transfer

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 910-917

  Rohrbach, Marcus ^a,b   Stark, Michael ^a   Szarvas, György ^a,c   Gurevych, Iryna ^a   Schiele, Bernt ^a,b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^c INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL EVALUATION; HUMAN INTERVENTION; KNOWLEDGE BASIS; KNOWLEDGE SOURCES; KNOWLEDGE TRANSFER; LINGUISTIC KNOWLEDGE; NATURAL LANGUAGE PROCESSING; RECOGNITION METHODS; SEMANTIC LINK; SEMANTIC RELATEDNESS; SIMILARITY MEASURE; SINGLE OBJECT; TRAINING EXAMPLE;

COMPUTATIONAL LINGUISTICS; COMPUTER VISION; NATURAL LANGUAGE PROCESSING SYSTEMS; SCALABILITY; SEMANTICS;

KNOWLEDGE MANAGEMENT;

EID: 77955989949     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540121     Document Type: Conference Paper

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