메뉴 건너뛰기




Volumn 42, Issue 11, 2009, Pages 2737-2743

Multi-output regression on the output manifold

Author keywords

Continuous structured prediction; Manifold learning; Regression analysis; Support vector regression

Indexed keywords

CONTINUOUS STRUCTURED PREDICTION; EUCLIDEAN SPACES; GEOMETRIC STRUCTURE; GLOBAL COORDINATES; INPUT FEATURES; LINEAR TRANSFORMATION; LOSS FUNCTIONS; MANIFOLD LEARNING; MULTI-OUTPUT; REAL LIFE DATA; REGRESSION ALGORITHMS; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS;

EID: 67649387956     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.05.001     Document Type: Article
Times cited : (47)

References (15)
  • 1
    • 33745771086 scopus 로고    scopus 로고
    • Structured prediction, dual extragradient and Bregman projections
    • Taskar B., Lacoste-Julien S., and Jordan M.I. Structured prediction, dual extragradient and Bregman projections. J. Mach. Learn. Res. 7 (2006) 1627-1653
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1627-1653
    • Taskar, B.1    Lacoste-Julien, S.2    Jordan, M.I.3
  • 3
    • 0036697720 scopus 로고    scopus 로고
    • Multi-output regression using a locally regularised orthogonal least-squares algorithm
    • Chen S. Multi-output regression using a locally regularised orthogonal least-squares algorithm. IEE Proceedings-Vision, Image and Signal Processing 149 4 (2002) 185-195
    • (2002) IEE Proceedings-Vision, Image and Signal Processing , vol.149 , Issue.4 , pp. 185-195
    • Chen, S.1
  • 5
    • 33744803444 scopus 로고    scopus 로고
    • Multi-output nonparametric regression, Progress in Artificial
    • J.M. Matias, Multi-output nonparametric regression, Progress in Artificial Intelligence (2005) 288-292.
    • (2005) Intelligence , pp. 288-292
    • Matias, J.M.1
  • 6
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
    • Belkin M., Niyogi P., and Sindhwani V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res. 7 (2006) 2399-2434
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 8
    • 33747738463 scopus 로고
    • Singular value decomposition and least squares solutions
    • Golub G.H., and Reinsch C. Singular value decomposition and least squares solutions. Numerische Mathematik 14 (1970) 403-420
    • (1970) Numerische Mathematik , vol.14 , pp. 403-420
    • Golub, G.H.1    Reinsch, C.2
  • 9
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Smola A.J., and Schölkopf B. A tutorial on support vector regression. Statistics and Computing 14 3 (2004) 199-222
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 10
    • 67649404068 scopus 로고    scopus 로고
    • Linear regression analysis
    • Seber G.A.F., and Lee A.J. Linear regression analysis. Technometrics 45 (2003) 362-363
    • (2003) Technometrics , vol.45 , pp. 362-363
    • Seber, G.A.F.1    Lee, A.J.2
  • 13
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 5500 (2000) 2323-2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.