메뉴 건너뛰기




Volumn , Issue , 2009, Pages 68-74

Automatic incremental model learning for scene interpretation

Author keywords

Computer vision; Image understanding; Machine learning; Ontologies

Indexed keywords

AUTOMATIC MODELS; COMPLEX SCENES; FEEDBACK LEARNING; INCREMENTAL MODELS; MACHINE-LEARNING; MAN-MADE STRUCTURES; SCENE INTERPRETATION;

EID: 77954026074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (9)
  • 3
    • 47349113984 scopus 로고    scopus 로고
    • Learning a knowledge base of ontological concepts for high-level scene interpretation
    • Cincinnati (Ohio, USA), December
    • J. Hartz and B. Neumann. Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation. In International Conference on Machine Learning and Applications, Cincinnati (Ohio, USA), December 2007.
    • (2007) International Conference on Machine Learning and Applications
    • Hartz, J.1    Neumann, B.2
  • 4
    • 0024082469 scopus 로고
    • Quantifying inductive bias: AI learning algorithms and valiant's learning framework
    • D. Haussler. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework. Artificial Intelligence, 36(2):177-221, 1988.
    • (1988) Artificial Intelligence , vol.36 , Issue.2 , pp. 177-221
    • Haussler, D.1
  • 5
    • 56549083479 scopus 로고    scopus 로고
    • Scene interpretation as a configuration task
    • L. Hotz and B. Neumann. Scene Interpretation as a Configuration Task. Künstliche Intelligenz, 3:59-65, 2005.
    • (2005) Künstliche Intelligenz , vol.3 , pp. 59-65
    • Hotz, L.1    Neumann, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.