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Volumn , Issue , 2009, Pages 87-92

Learning invariances with stationary subspace analysis

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DIMENSIONAL SUBSPACE; INVARIANCE LEARNING; LINEAR PROJECTIONS; LOSS FUNCTIONS; LOWER BOUNDS; OPTIMIZATION PROCEDURES; SIMULATED IMAGES; SUBSPACE ANALYSIS; SUBSPACE DECOMPOSITION;

EID: 77953188573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457715     Document Type: Conference Paper
Times cited : (11)

References (11)
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    • J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors MIT Press, Cambridge, MA
    • Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim Nikulin, and Klaus-Robert Müller. Invariant common spatial patterns: Alleviating non-stationarities in brain-computer interfacing. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 113-120. MIT Press, Cambridge, MA, 2008.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 113-120
    • Blankertz, B.1    Kawanabe, M.2    Tomioka, R.3    Hohlefeld, F.4    Nikulin, V.5    Müller, K.-R.6
  • 2
    • 0000013567 scopus 로고
    • Co-integration and error correction: Representation, estimation, and testing
    • Robert F. Engle and C. W. J. Granger. Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2):251-276, 1987.
    • (1987) Econometrica , vol.55 , Issue.2 , pp. 251-276
    • Engle, R.F.1    Granger, C.W.J.2
  • 3
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • J. J. Heckman. Sample selection bias as a specification error. Econometrica, 47(1):153-162, 1979.
    • (1979) Econometrica , vol.47 , Issue.1 , pp. 153-162
    • Heckman, J.J.1
  • 5
    • 11944275853 scopus 로고
    • Information theory and statistical mechanics
    • E. T. Jaynes. Information theory and statistical mechanics. Physical Review, 160(620-630), 1957.
    • (1957) Physical Review , vol.160 , Issue.620-630
    • Jaynes, E.T.1
  • 6
    • 0036592037 scopus 로고    scopus 로고
    • On-line learning in changing environments with applications in supervised and unsupervised learning
    • N. Murata, M. Kawanabe, A. Ziehe, K.-R. Müller, and S. Amari. On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks, 15(4-6):743-760, 2002.
    • (2002) Neural Networks , vol.15 , Issue.4-6 , pp. 743-760
    • Murata, N.1    Kawanabe, M.2    Ziehe, A.3    Müller, K.-R.4    Amari, S.5
  • 7
    • 21744446767 scopus 로고    scopus 로고
    • Geometrical methods for non-negative ica: Manifolds, lie groups and toral subalgebras
    • Mark D. Plumbley. Geometrical methods for non-negative ica: Manifolds, lie groups and toral subalgebras. Neurocomputing, 67(161-197), 2005.
    • (2005) Neurocomputing , vol.67 , Issue.161-197
    • Plumbley, M.D.1
  • 8
    • 67149129014 scopus 로고    scopus 로고
    • J. Quiñonero-Candela, M. Sugiyama, A. Schwaighofer, and N. Lawrence, editors MIT Press, Cambridge, MA
    • J. Quiñonero-Candela, M. Sugiyama, A. Schwaighofer, and N. Lawrence, editors. Dataset Shift in Machine Learning. MIT Press, Cambridge, MA, 2008.
    • (2008) Dataset Shift in Machine Learning
  • 9
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2):227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , Issue.2 , pp. 227-244
    • Shimodaira, H.1
  • 10
    • 67149109806 scopus 로고    scopus 로고
    • Stationary subspace analysis
    • Tülay Adali, Christian Jutten, João Marcos Travassos Romano, and Allan Kardec Barros, editors ICA, of Springer
    • Paul von Bünau, Frank C. Meinecke, and Klaus-Robert Müller. Stationary subspace analysis. In Tülay Adali, Christian Jutten, João Marcos Travassos Romano, and Allan Kardec Barros, editors, ICA, volume 5441 of Lecture Notes in Computer Science, pages 1-8. Springer, 2009.
    • (2009) Lecture Notes in Computer Science , vol.5441 , pp. 1-8
    • Von Bünau, P.1    Meinecke, F.C.2    Müller, K.-R.3
  • 11
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    • A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation
    • Andreas Ziehe, Pavel Laskov, Guido Nolte, and Klaus-Robert Müller. A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation. J. Mach. Learn. Res., 5:777-800, 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 777-800
    • Ziehe, A.1    Laskov, P.2    Nolte, G.3    Müller, K.-R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.