메뉴 건너뛰기




Volumn 8, Issue , 2007, Pages 1097-1111

Bilinear discriminant component analysis

Author keywords

Bilinear; Classification; Component; Decomposition; Regularization

Indexed keywords

DATA ACQUISITION; DATA REDUCTION; IMAGING SYSTEMS; LINEAR SYSTEMS; OPTIMAL SYSTEMS;

EID: 34249081083     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (60)

References (34)
  • 1
    • 2942597622 scopus 로고    scopus 로고
    • Structure-seeking multilinear methods for the analysis of fMRI data
    • A. H. Andersen and W. S. Rayens. Structure-seeking multilinear methods for the analysis of fMRI data. Neuroimage, 22(2):728-39, 2004.
    • (2004) Neuroimage , vol.22 , Issue.2 , pp. 728-739
    • Andersen, A.H.1    Rayens, W.S.2
  • 2
    • 14244251502 scopus 로고    scopus 로고
    • Tensorial extensions of independent component analysis for group fMRI data analysis
    • C.F. Beckmann and S.M. Smith. Tensorial extensions of independent component analysis for group fMRI data analysis. NeuroImage, 25(1):294-311, 2005.
    • (2005) NeuroImage , vol.25 , Issue.1 , pp. 294-311
    • Beckmann, C.F.1    Smith, S.M.2
  • 3
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • A. J. Bell and T. J. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6): 1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 5
    • 84898934181 scopus 로고    scopus 로고
    • Classifying single trial EEG: Towards brain computer interfacing
    • T. G. Diettrich, S. Becker, and Z. Ghahramani, editors
    • B. Blankertz, G. Curio, and K.-R. Müller. Classifying single trial EEG: Towards brain computer interfacing. In T. G. Diettrich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Inf. Proc. Systems 14 (NIPS 01), 2002.
    • (2002) Advances in Neural Inf. Proc. Systems 14 (NIPS 01)
    • Blankertz, B.1    Curio, G.2    Müller, K.-R.3
  • 7
    • 0004050741 scopus 로고    scopus 로고
    • PhD thesis, Royal Veterinary and Agricultural University, Denmark
    • R. Bro. Multi-way Analysis in the Food Industry. PhD thesis, Royal Veterinary and Agricultural University, Denmark, 1998.
    • (1998) Multi-way Analysis in the Food Industry
    • Bro, R.1
  • 9
    • 0035033714 scopus 로고    scopus 로고
    • Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms
    • V. Calhoun, T. Adali, G. Pearlson, and J. Pekar. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum Brain Mapp, 13:43, 2001.
    • (2001) Hum Brain Mapp , vol.13 , pp. 43
    • Calhoun, V.1    Adali, T.2    Pearlson, G.3    Pekar, J.4
  • 11
    • 1242283941 scopus 로고    scopus 로고
    • Eeglab: An open source toolbox for analysis of single-trial eeg dynamics including independent component analysis
    • A. Delorme and S. Makeig. Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis. J Neurosci Methods, 134(1):9-21, 2004.
    • (2004) J Neurosci Methods , vol.134 , Issue.1 , pp. 9-21
    • Delorme, A.1    Makeig, S.2
  • 12
    • 34249105290 scopus 로고    scopus 로고
    • Model selection for convolutive ICA with an application to spatio-temporal analysis of EEG
    • M. Dyrholm, S. Makeig, and L. K. Hansen. Model selection for convolutive ICA with an application to spatio-temporal analysis of EEG. Neural Computation, 2006.
    • (2006) Neural Computation
    • Dyrholm, M.1    Makeig, S.2    Hansen, L.K.3
  • 14
    • 0345438685 scopus 로고    scopus 로고
    • ROC graphs: Notes and practical considerations for data mining researchers
    • Technical report, HPL-2003-4. HP Laboratories, Palo Alto, CA, USA
    • T. Fawcett. ROC graphs: Notes and practical considerations for data mining researchers. Technical report, HPL-2003-4. HP Laboratories, Palo Alto, CA, USA., 2003.
    • (2003)
    • Fawcett, T.1
  • 15
    • 26644448212 scopus 로고    scopus 로고
    • Cortical origins of response time variability during rapid discrimination of visual objects
    • A.D. Gerson, L.C. Parra, and P. Sajda. Cortical origins of response time variability during rapid discrimination of visual objects. Neurolmage, 28(2):326-341, 2005.
    • (2005) Neurolmage , vol.28 , Issue.2 , pp. 326-341
    • Gerson, A.D.1    Parra, L.C.2    Sajda, P.3
  • 16
    • 0002740437 scopus 로고
    • Foundations of the PARAFAC procedure: Models and conditions for an 'explanatory' multi-modal factor analysis
    • R. A. Harshman. Foundations of the PARAFAC procedure: Models and conditions for an 'explanatory' multi-modal factor analysis. UCLA Working Papers in Phonetics, 16, 1970.
    • (1970) UCLA Working Papers in Phonetics , vol.16
    • Harshman, R.A.1
  • 17
    • 48749101457 scopus 로고
    • Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
    • J. B. Kruskal. Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics. Linear Algebra and its Applications, 18:95-138, 1977.
    • (1977) Linear Algebra and its Applications , vol.18 , pp. 95-138
    • Kruskal, J.B.1
  • 18
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
    • T.-W. Lee, M. Girolami, and T. J. Sejnowski. Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources. Neural Computation, 11 (2):417-441, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 417-441
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.J.3
  • 19
    • 34249072296 scopus 로고    scopus 로고
    • S. Makeig, A. J. Bell, T.-P. Jung, and T. J. Sejnowski. Independent component analysis of electroencephalographic data. In M. Mozer and M. Hasselmo, editors, Advances in Neural Information Processing Systems, pages 145-151, 1996.
    • S. Makeig, A. J. Bell, T.-P. Jung, and T. J. Sejnowski. Independent component analysis of electroencephalographic data. In M. Mozer and M. Hasselmo, editors, Advances in Neural Information Processing Systems, pages 145-151, 1996.
  • 23
    • 84956868497 scopus 로고    scopus 로고
    • Nonlinear vs. linear models in functional neuroimaging: Learning curves and generalization crossover
    • Proceedings of the 15th international conference on information processing in medical imaging, of, Springer
    • N. Mørch, L. Hansen, S. Strother, C. Svarer, D. Rottenberg, and B. Lautrup. Nonlinear vs. linear models in functional neuroimaging: Learning curves and generalization crossover. In Proceedings of the 15th international conference on information processing in medical imaging, volume 1230 of Lecture Notes in Computer Science, pages 259-270. Springer, 1997.
    • (1997) Lecture Notes in Computer Science , vol.1230 , pp. 259-270
    • Mørch, N.1    Hansen, L.2    Strother, S.3    Svarer, C.4    Rottenberg, D.5    Lautrup, B.6
  • 24
    • 0024242804 scopus 로고
    • Decomposing event-related potentials: A new topographic components model
    • J. Möcks. Decomposing event-related potentials: A new topographic components model. Biol Psychol, 26(1-3): 199-215, 1988.
    • (1988) Biol Psychol , vol.26 , Issue.1-3 , pp. 199-215
    • Möcks, J.1
  • 25
    • 31044456392 scopus 로고    scopus 로고
    • Parallel factor analysis as an exploratory tool for wavelet transformed event-related EEG
    • feb
    • M. Mørup, L. K. Hansen, C. S. Hermann, J. Parnas, and S. M. Arnfred. Parallel factor analysis as an exploratory tool for wavelet transformed event-related EEG. Neurolmage, 29(3):938-947, feb 2006.
    • (2006) Neurolmage , vol.29 , Issue.3 , pp. 938-947
    • Mørup, M.1    Hansen, L.K.2    Hermann, C.S.3    Parnas, J.4    Arnfred, S.M.5
  • 26
    • 34047109325 scopus 로고    scopus 로고
    • optimization software available at
    • H. B. Nielsen. IMMOPTIBOX. General optimization software available at http://www.imm.dtu.dk/~hbn/immoptibox/, 2005.
    • (2005) General
    • Nielsen, H.B.1    IMMOPTIBOX2
  • 27
    • 26644455601 scopus 로고    scopus 로고
    • Recipes for the linear analysis of EEG
    • L. Parra, C. Spence, A. Gerson, and P. Sajda. Recipes for the linear analysis of EEG. Neurolmage, 28:326-341, 2005.
    • (2005) Neurolmage , vol.28 , pp. 326-341
    • Parra, L.1    Spence, C.2    Gerson, A.3    Sajda, P.4
  • 28
    • 16244387927 scopus 로고    scopus 로고
    • Bayesian fMRI time series analysis with spatial priors
    • W. D. Penny, N. J. Trujillo-Barreto, and K. J. Friston. Bayesian fMRI time series analysis with spatial priors. Neurolmage, 24:350-362, 2005.
    • (2005) Neurolmage , vol.24 , pp. 350-362
    • Penny, W.D.1    Trujillo-Barreto, N.J.2    Friston, K.J.3
  • 30
    • 84971645584 scopus 로고    scopus 로고
    • Feature extraction using supervised independent component analysis by maximizing class distance
    • Y. Sakaguchi, S. Ozawa, and M. Kotani. Feature extraction using supervised independent component analysis by maximizing class distance. In Proc. of Int. Conf. on Neural Information Processing, volume 5, pages 2502-2506, 2002.
    • (2002) Proc. of Int. Conf. on Neural Information Processing , vol.5 , pp. 2502-2506
    • Sakaguchi, Y.1    Ozawa, S.2    Kotani, M.3
  • 32
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • S. Thorpe, D. Fize, and C. Marlot. Speed of processing in the human visual system. Nature, 381 (6582):520-2, 1996.
    • (1996) Nature , vol.381 , Issue.6582 , pp. 520-522
    • Thorpe, S.1    Fize, D.2    Marlot, C.3
  • 33
    • 33846955074 scopus 로고    scopus 로고
    • M. Visani, C. Garcia, Jolion, and J.-M. Normalized radial basis function networks and bilinear discriminant analysis for face recognition. In Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, pages 342-47, 2005.
    • M. Visani, C. Garcia, Jolion, and J.-M. Normalized radial basis function networks and bilinear discriminant analysis for face recognition. In Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, pages 342-47, 2005.
  • 34
    • 21844447839 scopus 로고    scopus 로고
    • Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems
    • J. Ye. Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. Journal of Machine Learning Research, 6:483-502, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 483-502
    • Ye, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.