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Volumn 167, Issue , 2015, Pages 209-217

Higher-level feature combination via multiple kernel learning for image classification

Author keywords

Feature coding; Feature combination; Image classification; Multiple kernel learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); IMAGE CODING;

EID: 84952631146     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.04.075     Document Type: Article
Times cited : (12)

References (24)
  • 1
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, J. Ponce, Beyond bags of features: spatial pyramid matching for recognizing natural scene categories, in: CVPR, 2006.
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 13
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • ICCV
    • D.G. Lowe, Object recognition from local scale-invariant features, in: ICCV, 1999.
    • (1999)
    • Lowe, D.G.1
  • 20
    • 84903197687 scopus 로고    scopus 로고
    • Multiple kernel learning for visual object recognition. a review
    • Bucak S.S., Jin R., Jain A.K. Multiple kernel learning for visual object recognition. a review. IEEE Trans. Pattern Anal. Mach. Intell. 2014, 36(7):1354-1369.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.7 , pp. 1354-1369
    • Bucak, S.S.1    Jin, R.2    Jain, A.K.3
  • 22
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories
    • F.-F. Li, R. Fergus, P. Perona, Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories, in: CVPR Workshop on Generative-Model Based Vision, 2004.
    • (2004) CVPR Workshop on Generative-Model Based Vision
    • Li, F.-F.1    Fergus, R.2    Perona, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.