메뉴 건너뛰기




Volumn , Issue , 2011, Pages 929-936

Tasting families of features for image classification

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EFFICIENT STRATEGY; IMAGE FEATURES; LOSS REDUCTION; MACHINE LEARNING METHODS; OBJECT DETECTION; SAMPLING PROCEDURES; UNIFORM SAMPLING;

EID: 84856645748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126335     Document Type: Conference Paper
Times cited : (5)

References (16)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • 3
    • P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47(2):235-256, 2002. 3
    • (2002) Machine Learning , vol.47 , Issue.2 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • 1
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001. 1
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 77956554273 scopus 로고    scopus 로고
    • Fast Boosting using adversarial bandits
    • 1, 2, 3, 6
    • R. Busa-Fekete and B. Keg. Fast Boosting using adversarial bandits. In ICML, 2010. 1, 2, 3, 6
    • (2010) ICML
    • Busa-Fekete, R.1    Keg, B.2
  • 7
    • 84856672152 scopus 로고    scopus 로고
    • 6
    • The CIFAR-lO data-set. http://www . cs. toronto. edu/-kriz/cifar.html. 6
    • The CIFAR-lO Data-Set
  • 9
    • 84974712696 scopus 로고    scopus 로고
    • Boosting applied to word sense disambiguation
    • 1
    • G. Escudero, L. Marquez, and G. Rigau. Boosting applied to word sense disambiguation. Machine Learning: ECML 2000, pages 129-141, 2000. 1
    • (2000) Machine Learning: ECML , vol.2000 , pp. 129-141
    • Escudero, G.1    Marquez, L.2    Rigau, G.3
  • 10
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • 6
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. In CV PR, Workshop on Generative-Model Based Vision, 2004. 6
    • (2004) CV PR, Workshop on Generative-Model Based Vision
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 11
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification
    • 1, 5, 6
    • P. Gehler and S. Nowozin. On feature combination for multiclass object classification. In International Conference on Computer Vision, 2009. http://www.vision.ee . ethz.ch/-pgehler/projects/iccv09/. 1,5,6
    • (2009) International Conference on Computer Vision
    • Gehler, P.1    Nowozin, S.2
  • 13
  • 15
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • 1, 2
    • R. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine learning, 37(3):297-336, 1999. 1,2
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.1    Singer, Y.2
  • 16
    • 85015879350 scopus 로고    scopus 로고
    • Human detection using partial least squares analysis
    • 6
    • W. Schwartz, A. Kembhavi, D. Harwood, and L. S. Davis. Human detection using partial least squares analysis. In ICCV, 2009. 6
    • (2009) ICCV
    • Schwartz, W.1    Kembhavi, A.2    Harwood, D.3    Davis, L.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.