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Volumn , Issue , 2007, Pages

DynamicBoost: Boosting time series generated by dynamical systems

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER APPLICATIONS; COMPUTER NETWORKS; COMPUTER SYSTEMS; COMPUTER VISION; FILMS; IMAGE PROCESSING; LINEAR CONTROL SYSTEMS; TEXTURES; TIME SERIES ANALYSIS;

EID: 50649117012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408847     Document Type: Conference Paper
Times cited : (13)

References (15)
  • 1
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    • K. D. Cock and B. D. Moor. Subspace angles and distances between ARMA models. System and Control Letters, 46(4):265-270, 2002.
    • (2002) System and Control Letters , vol.46 , Issue.4 , pp. 265-270
    • Cock, K.D.1    Moor, B.D.2
  • 5
    • 0034164230 scopus 로고    scopus 로고
    • Special invited paper. additive logistic regression: A statistical view of boosting
    • J. H. Friedman, T. Hastie, and R. Tibshirani. Special invited paper. additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28(2):337-374, 2000.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 8
    • 0027589792 scopus 로고
    • Subspace algorithms for the stochastic identification problem
    • P. V. Overschee and B. D. Moor. Subspace algorithms for the stochastic identification problem. Automatica, 29(3):649-660, 1993.
    • (1993) Automatica , vol.29 , Issue.3 , pp. 649-660
    • Overschee, P.V.1    Moor, B.D.2
  • 9
    • 0031633979 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • R. E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. In Computational learning theory, pages 80-91, 1998.
    • (1998) Computational learning theory , pp. 80-91
    • Schapire, R.E.1    Singer, Y.2
  • 10
    • 84986753417 scopus 로고
    • An approach to time series smoothing and forecasting using the EM algorithm
    • R. Shumway and D. Stoffer. An approach to time series smoothing and forecasting using the EM algorithm. Journal of Time Series Analysis, 3(4):253-264, 1982.
    • (1982) Journal of Time Series Analysis , vol.3 , Issue.4 , pp. 253-264
    • Shumway, R.1    Stoffer, D.2
  • 14
    • 33846637208 scopus 로고    scopus 로고
    • Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
    • S. Vishwanathan, A. Smola, and R. Vidal. Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes. Int. Journal of Computer Vision, 73(1):95-119, 2007.
    • (2007) Int. Journal of Computer Vision , vol.73 , Issue.1 , pp. 95-119
    • Vishwanathan, S.1    Smola, A.2    Vidal, R.3
  • 15
    • 50649092815 scopus 로고    scopus 로고
    • The segmental boosting algorithm for time-series feature selection
    • P. Yin, I. Essa, and J. Rehg. The segmental boosting algorithm for time-series feature selection. In Learning Workshop, 2007.
    • (2007) Learning Workshop
    • Yin, P.1    Essa, I.2    Rehg, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.