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Volumn 2014-January, Issue January, 2014, Pages 3627-3631

Transfer learning based on the observation probability of each attribute

Author keywords

Attributes; Generative model; Incremental learning; Multiclass classification; Transfer learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CYBERNETICS; LEARNING SYSTEMS; PROBABILITY;

EID: 84938152051     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/smc.2014.6974493     Document Type: Conference Paper
Times cited : (14)

References (11)
  • 5
    • 84938080626 scopus 로고    scopus 로고
    • Inductive transfer: 10 years later
    • Inductive transfer: 10 years later. In NIPS 2005 Workshop, 2005.
    • (2005) NIPS 2005 Workshop
  • 7
    • 78149305536 scopus 로고    scopus 로고
    • Attribute-based transfer learning for object categorization with zero/one training example
    • X. Yu and Y. Aloimonos. Attribute-based transfer learning for object categorization with zero/one training example. In Proceedings of the European Conference on Computer Vision (ECCV), Vol. V, pp. 127- 140, 2010.
    • (2010) Proceedings of the European Conference on Computer Vision (ECCV) , vol.5 , pp. 127-140
    • Yu, X.1    Aloimonos, Y.2
  • 11
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, pp. 61-74, 1999.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.