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Volumn 77, Issue 1, 2012, Pages 20-27

Learning optimal spatial filters by discriminant analysis for brain-computer-interface

Author keywords

Brain computer interfaces; Common spatial pattern; Discriminant analysis; EEG; Neural interfaces

Indexed keywords

BRAIN SIGNALS; CLASSIFICATION ACCURACY; CLUSTER CENTERS; COMMON SPATIAL PATTERNS; FILTERED SIGNALS; GRAPH EMBEDDINGS; LINEAR DISCRIMINANT ANALYSIS; MULTI-CHANNEL; NEURAL INTERFACES; OPTIMAL SPATIAL FILTER; SPATIAL FILTERS;

EID: 80955131183     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.07.016     Document Type: Article
Times cited : (27)

References (31)
  • 1
    • 77954565155 scopus 로고    scopus 로고
    • Discriminative semi-supervised feature selection via manifold regularization
    • Xu I.K.Z., Lyu M.R.-T., Jin R. Discriminative semi-supervised feature selection via manifold regularization. IEEE Trans. Neural Networks 2010, 21(7):1033-1047.
    • (2010) IEEE Trans. Neural Networks , vol.21 , Issue.7 , pp. 1033-1047
    • Xu, I.K.Z.1    Lyu, M.R.-T.2    Jin, R.3
  • 2
    • 77953123103 scopus 로고    scopus 로고
    • Senior Member, IEEE, Novel maximum-margin training algorithms for supervised neural networks
    • Ludwig O., Nunes U. Senior Member, IEEE, Novel maximum-margin training algorithms for supervised neural networks. IEEE Trans. Neural Networks 2010, 21(6):972-984.
    • (2010) IEEE Trans. Neural Networks , vol.21 , Issue.6 , pp. 972-984
    • Ludwig, O.1    Nunes, U.2
  • 4
    • 72949097899 scopus 로고    scopus 로고
    • Laplacian regularization d-optimal design for active learning and its application to image retrieval
    • He X. Laplacian regularization d-optimal design for active learning and its application to image retrieval. IEEE Trans. Image Process. 2010, 19(1):254-263.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.1 , pp. 254-263
    • He, X.1
  • 7
    • 28444478781 scopus 로고    scopus 로고
    • Cluster-based LDA for single sample problem in face recognition
    • Proceedings of the International Conference on Machine Learning and Cybernetics, August
    • Y. Pang, J. Pan, Z. Liu, Cluster-based LDA for single sample problem in face recognition, in: Proceedings of the International Conference on Machine Learning and Cybernetics, August 2005.
    • (2005)
    • Pang, Y.1    Pan, J.2    Liu, Z.3
  • 8
    • 0001131390 scopus 로고    scopus 로고
    • Discriminant analysis by Gaussian mixtures
    • T.Hastie, Tibshirani R. Discriminant analysis by Gaussian mixtures. J. R. Stat. Soc., Ser. B 1996, 58(1):155-176.
    • (1996) J. R. Stat. Soc., Ser. B , vol.58 , Issue.1 , pp. 155-176
    • Hastie, T.1    Tibshirani, R.2
  • 9
    • 10044262953 scopus 로고    scopus 로고
    • Model-based mixture discriminant analysis-an experimental study
    • Z.Halbe, Aladjem M. Model-based mixture discriminant analysis-an experimental study. Pattern Recognition 2005, 38(3):437-440.
    • (2005) Pattern Recognition , vol.38 , Issue.3 , pp. 437-440
    • Halbe, Z.1    Aladjem, M.2
  • 10
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, discriminant analysis, and density estimation
    • Fraley C., Raftery A.E. Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 2002, 97:611-631.
    • (2002) J. Am. Stat. Assoc. , vol.97 , pp. 611-631
    • Fraley, C.1    Raftery, A.E.2
  • 11
    • 0041328237 scopus 로고    scopus 로고
    • Face recognition using LDA mixture model
    • H.-C.Kim D.K., Bang S.Y. Face recognition using LDA mixture model. Pattern Recognition Lett. 2003, 24(15):2815-2821.
    • (2003) Pattern Recognition Lett. , vol.24 , Issue.15 , pp. 2815-2821
    • H.-C.Kim, D.K.1    Bang, S.Y.2
  • 13
    • 85162002268 scopus 로고    scopus 로고
    • Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
    • B. Blankertz, M. Kawanabe, R. Tomioka, Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing, NIPS, 2008.
    • (2008) NIPS
    • Blankertz, B.1    Kawanabe, M.2    Tomioka, R.3
  • 16
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • Frey B.J., Dueck D. Clustering by passing messages between data points. Science 2007, 315(5814):972-976.
    • (2007) Science , vol.315 , Issue.5814 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 17
    • 0344120207 scopus 로고    scopus 로고
    • Unified subspace analysis for face recognition, in: Proceedings of the International Conference on Computer Vision
    • X. Wang, X. Tang, Unified subspace analysis for face recognition, in: Proceedings of the International Conference on Computer Vision, 2003.
    • (2003)
    • Wang, X.1    Tang, X.2
  • 20
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • March
    • Turk M., Pentalnd A. Eigenfaces for recognition. J. Cognitive Neurosci. 1991, 3(1):71-86. March.
    • (1991) J. Cognitive Neurosci. , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentalnd, A.2
  • 22
    • 72949091678 scopus 로고    scopus 로고
    • Deterministic column-based matrix decomposition
    • Li X., Pang Y. Deterministic column-based matrix decomposition. IEEE Trans. Knowl. Data Eng. 2010, 22(1):145-149.
    • (2010) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.1 , pp. 145-149
    • Li, X.1    Pang, Y.2
  • 23
    • 0344982887 scopus 로고    scopus 로고
    • Learning a locality preserving subspace for visual recognition
    • Proceedings of the IEEE International Conference on Computer Vision, Nice, France.
    • X. He, S. Yan, Y. Hu, H.-J. Zhang, Learning a locality preserving subspace for visual recognition, in: Proceedings of the IEEE International Conference on Computer Vision, Nice, France, 2003.
    • (2003)
    • He, X.1    Yan, S.2    Hu, Y.3    Zhang, H.-J.4
  • 24
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S., Saul.L. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290(5500):2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 25
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction Science
    • 5500
    • J.B. Tenenbaum, V. de Silva, J.C. Langford, A global geometric framework for nonlinear dimensionality reduction Science, 290, 5500, 2000, pp. 2319-2323.
    • (2000) , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 27
    • 63449129600 scopus 로고    scopus 로고
    • Iterative subspace analysis based on feature line distance
    • Pang Y., Yuan Y., Li X. Iterative subspace analysis based on feature line distance. IEEE Trans. Image Process. 2009, 18(4):903-907.
    • (2009) IEEE Trans. Image Process. , vol.18 , Issue.4 , pp. 903-907
    • Pang, Y.1    Yuan, Y.2    Li, X.3
  • 28
    • 2442681783 scopus 로고    scopus 로고
    • BCI competition 2003-data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications
    • June
    • Xu N., Gao X., Hong B., Miao X., Gao S., Yang F. BCI competition 2003-data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications. IEEE Trans. Biomed. Eng. 2004, 51(6):1067-1072. June.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , Issue.6 , pp. 1067-1072
    • Xu, N.1    Gao, X.2    Hong, B.3    Miao, X.4    Gao, S.5    Yang, F.6
  • 29
    • 0027606442 scopus 로고
    • Method to reduce blur distortion from EEG's using a realistic head model
    • Le J., Gevins A. Method to reduce blur distortion from EEG's using a realistic head model. IEEE Trans. Biomed. Eng. 1993, 40(6):517-528.
    • (1993) IEEE Trans. Biomed. Eng. , vol.40 , Issue.6 , pp. 517-528
    • Le, J.1    Gevins, A.2
  • 30
    • 80955160580 scopus 로고    scopus 로고
    • Locality Preserving Projections, in: Proceedings of the Neural Information Processing Systems
    • P. Niyogi, X. He, Locality Preserving Projections, in: Proceedings of the Neural Information Processing Systems, 2003.
    • (2003)
    • Niyogi, P.1    He, X.2
  • 31
    • 67049098033 scopus 로고    scopus 로고
    • Transductive Component Analysis, in: Proceedings of the IEEE International Conference on Data Mining, Pisa, Italy
    • W. Liu, D. Tao, J. Liu, Transductive Component Analysis, in: Proceedings of the IEEE International Conference on Data Mining, Pisa, Italy, 2008.
    • (2008)
    • Liu, W.1    Tao, D.2    Liu, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.