Fast multi-class image annotation with random subwindows and multiple output randomized trees

VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications

Volumn 2, Issue , 2009, Pages 196-203

  Dumont, Marie ^a   Marée, Raphael ^a   Wehenkel, Louis ^a   Geurts, Pierre ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Decision trees; Extremely randomized trees; Image annotation; Machine learning; Structured outputs

Indexed keywords

ART IMAGE; ENSEMBLE METHODS; EXTREMELY RANDOMIZED TREES; FINITE SET; HIGH-DIMENSIONAL; IMAGE ANNOTATION; MACHINE LEARNING; MULTI-CLASS; MULTIPLE OUTPUTS; PRE-DEFINED CLASS; STRUCTURED OUTPUTS;

COMPUTATIONAL EFFICIENCY; COMPUTER VISION; DECISION TREES; EXTRACTION; IMAGE ANALYSIS; ROBOT LEARNING; SET THEORY;

PIXELS;

EID: 70349267657     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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