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Volumn 45, Issue 4, 2012, Pages 1782-1791

Separation theorem for independent subspace analysis and its consequences

Author keywords

Complex valued models; Controlled models; Independent subspace analysis; Linear systems; Nonparametric source dynamics; Partially observed systems; Post nonlinear systems; Separation principles

Indexed keywords

CONTROLLED MODELS; INDEPENDENT SUBSPACE ANALYSIS; NON-PARAMETRIC; OBSERVED SYSTEMS; POST-NONLINEAR; SEPARATION PRINCIPLES;

EID: 83655191961     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.09.007     Document Type: Article
Times cited : (42)

References (100)
  • 1
    • 0026191274 scopus 로고
    • Blind separation of sources, part I. An adaptive algorithm based on neuromimetic architecture
    • DOI 10.1016/0165-1684(91)90079-X
    • C. Jutten, and J. Hérault Blind separation of sources: an adaptive algorithm based on neuromimetic architecture Signal Processing 24 1991 1 10 (Pubitemid 21679270)
    • (1991) Signal Processing , vol.24 , Issue.1 , pp. 1-10
    • Jutten Christian1    Herault Jeanny2
  • 2
    • 0027812550 scopus 로고
    • Blind beamforming for non-Gaussian signals
    • J. Cardoso, and A. Souloumiac Blind beamforming for non-Gaussian signals IEE Proceedings F 140 6 1993 362 370
    • (1993) IEE Proceedings F , vol.140 , Issue.6 , pp. 362-370
    • Cardoso, J.1    Souloumiac, A.2
  • 3
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • P. Comon Independent component analysis, a new concept? Signal Processing 36 3 1994 287 314
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 5
    • 0036604858 scopus 로고    scopus 로고
    • Face representation using independent component analysis
    • DOI 10.1016/S0031-3203(01)00101-7, PII S0031320301001017
    • P.C. Yuen, and J.H. Lai Face representation using independent component analysis Pattern Recognition 35 6 2002 1247 1257 (Pubitemid 34262333)
    • (2002) Pattern Recognition , vol.35 , Issue.6 , pp. 1247-1257
    • Yuen, P.C.1    Lai, J.H.2
  • 6
    • 27544501369 scopus 로고    scopus 로고
    • Image matching using alpha-entropy measures and entropic graphs
    • DOI 10.1016/j.sigpro.2004.10.002
    • H. Neemuchwalaa, A. Hero, and P. Carson Image matching using alpha-entropy measures and entropic graphs Signal Processing 85 2 2005 277 296 (Pubitemid 41536591)
    • (2005) Signal Processing , vol.85 , Issue.2 , pp. 277-296
    • Neemuchwala, H.1    Hero, A.2    Carson, P.3
  • 7
    • 0031861367 scopus 로고    scopus 로고
    • Analysis of fMRI data by blind separation into independent spatial components
    • DOI 10.1002/(SICI)1097-0193(19 98)6:3<160::A ID-HBM5>3.0.CO;2-1
    • M.J. McKeown, S. Makeig, G.G. Brown, T.-P. Jung, S.S. Kindermann, A.J. Bell, and T.J. Sejnowski Analysis of fMRI data by blind separation into independent spatial components Human Brain Mapping 6 1998 160 188 (Pubitemid 28247339)
    • (1998) Human Brain Mapping , vol.6 , Issue.3 , pp. 160-188
    • McKeown, M.J.1    Makeig, S.2    Brown, G.G.3    Jung, T.-P.4    Kindermann, S.S.5    Bell, A.J.6    Sejnowski, T.J.7
  • 8
    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • DOI 10.1016/S0042-6989(97)00121-1, PII S0042698997001211
    • A.J. Bell, and T.J. Sejnowski The 'independent components' of natural scenes are edge filters Vision Research 37 1997 3327 3338 (Pubitemid 27493806)
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 9
    • 0041698403 scopus 로고    scopus 로고
    • Independent component analysis for texture segmentation
    • DOI 10.1016/S0031-3203(03)00131-6
    • R. Jenssen, and T. Eltoft Independent component analysis for texture segmentation Pattern Recognition 36 13 2003 2301 2315 (Pubitemid 36947214)
    • (2003) Pattern Recognition , vol.36 , Issue.10 , pp. 2301-2315
    • Jenssen, R.1    Eltoft, T.2
  • 10
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • DOI 10.1016/S0893-6080(00)00026-5, PII S0893608000000265
    • A. Hyvärinen, and E. Oja Independent component analysis: algorithms and applications Neural Networks 13 4-5 2000 411 430 (Pubitemid 30447427)
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 15
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces
    • A. Hyvärinen, and P.O. Hoyer Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces Neural Computation 12 2000 1705 1720
    • (2000) Neural Computation , vol.12 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 16
    • 0141571510 scopus 로고    scopus 로고
    • Membership scoring via independent feature subspace analysis for grouping co-expressed genes
    • H. Kim, S. Choi, and S. Bang Membership scoring via independent feature subspace analysis for grouping co-expressed genes IJCNN 2003 1690 1695
    • (2003) IJCNN , pp. 1690-1695
    • Kim, H.1    Choi, S.2    Bang, S.3
  • 17
    • 33746836570 scopus 로고    scopus 로고
    • Subspace independent component analysis using vector kurtosis
    • DOI 10.1016/j.patcog.2006.04.021, PII S0031320306001749
    • A. Sharma, and K.K. Paliwal Subspace independent component analysis using vector kurtosis Pattern Recognition 39 2006 2227 2232 (Pubitemid 44175449)
    • (2006) Pattern Recognition , vol.39 , Issue.11 , pp. 2227-2232
    • Sharma, A.1    Paliwal, K.K.2
  • 18
    • 29144516371 scopus 로고    scopus 로고
    • Blind signal separation into groups of dependent signals using joint block diagonalization
    • F.J. Theis Blind signal separation into groups of dependent signals using joint block diagonalization ISCAS 2005 5878 5881
    • (2005) ISCAS , pp. 5878-5881
    • Theis, F.J.1
  • 19
    • 0034108045 scopus 로고    scopus 로고
    • Fetal electrocardiogram extraction by blind source subspace separation
    • DOI 10.1109/10.841326
    • L.D. Lathauwer, B.D. Moor, and J. Vandewalle Fetal electrocardiogram extraction by blind source subspace separation IEEE Transactions on Biomedical Engineering 47 5 2000 567 572 (Pubitemid 30316973)
    • (2000) IEEE Transactions on Biomedical Engineering , vol.47 , Issue.5 , pp. 567-572
    • De Lathauwer, L.1    De Moor, B.2    Vandewalle, J.3
  • 21
    • 78049355478 scopus 로고    scopus 로고
    • Independent subspace analysis with prior information for fMRI data
    • S. Ma, X.-L. Li, N. Correa, T. Adali, and V. Calhoun Independent subspace analysis with prior information for fMRI data ICASSP 2010 1922 1925
    • (2010) ICASSP , pp. 1922-1925
    • Ma, S.1    Li, X.-L.2    Correa, N.3    Adali, T.4    Calhoun, V.5
  • 22
    • 67149109716 scopus 로고    scopus 로고
    • Non-independent BSS: A model for evoked MEG signals with controllable dependencies
    • F. Kohl, G. Wübbeler, D. Kolossa, C. Elster, M. Bär, and R. Orglmeister Non-independent BSS: a model for evoked MEG signals with controllable dependencies ICA 2009 443 450
    • (2009) ICA , pp. 443-450
    • Kohl, F.1    Wübbeler, G.2    Kolossa, D.3    Elster, C.4    Bär, M.5    Orglmeister, R.6
  • 23
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • DOI 10.1038/381607a0
    • B.A. Olshausen, and D.J. Field Emergence of simple-cell receptive field properties by learning a sparse code for natural images Nature 381 1996 607 609 (Pubitemid 26177476)
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 27
    • 80052874098 scopus 로고    scopus 로고
    • Stacked convolutional independent subspace analysis for action recognition
    • Q. Le, W. Zou, S. Yeung, and A. Ng Stacked convolutional independent subspace analysis for action recognition CVPR 2011 3361 3368
    • (2011) CVPR , pp. 3361-3368
    • Le, Q.1    Zou, W.2    Yeung, S.3    Ng, A.4
  • 28
    • 0035409349 scopus 로고    scopus 로고
    • Topographic independent component analysis
    • DOI 10.1162/089976601750264992
    • A. Hyvärinen, P.O. Hoyer, and M. Inki Topographic independent component analysis Neural Computation 13 7 2001 1527 1558 (Pubitemid 33595031)
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1527-1558
    • Hyvarinen, A.1    Hoyer, P.O.2    Inki, M.3
  • 29
    • 83655199397 scopus 로고    scopus 로고
    • View-subspace analysis of multi-view face patterns
    • S.Z. Li, X. Lv, and H. Zhang View-subspace analysis of multi-view face patterns RATFG-RTS 2001 125 132
    • (2001) RATFG-RTS , pp. 125-132
    • Li, S.Z.1    Lv, X.2    Zhang, H.3
  • 30
    • 85159261800 scopus 로고    scopus 로고
    • Separation of mixed audio sources by independent subspace analysis
    • M.A. Casey, and A. Westner Separation of mixed audio sources by independent subspace analysis ICMC 2000 154 161
    • (2000) ICMC , pp. 154-161
    • Casey, M.A.1    Westner, A.2
  • 31
    • 5044229981 scopus 로고    scopus 로고
    • Motion segmentation based on independent subspace analysis
    • Z. Fan, J. Zhou, and Y. Wu Motion segmentation based on independent subspace analysis ACCV 2004
    • (2004) ACCV
    • Fan, Z.1    Zhou, J.2    Wu, Y.3
  • 34
    • 0041709586 scopus 로고    scopus 로고
    • Independent component analysis for time-dependent stochastic processes
    • A. Hyvärinen, Independent component analysis for time-dependent stochastic processes, in: ICANN 1998, pp. 541546.
    • (1998) ICANN , pp. 541546
    • Hyvärinen, A.1
  • 36
    • 21644454696 scopus 로고    scopus 로고
    • Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear systems
    • C. Jutten, and J. Karhunen Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear systems International Journal of Neural Systems 14 5 2004 267 292
    • (2004) International Journal of Neural Systems , vol.14 , Issue.5 , pp. 267-292
    • Jutten, C.1    Karhunen, J.2
  • 37
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain electroencephalographic data
    • DOI 10.1016/j.neunet.2003.08.003
    • J. Anemüller, T.J. Sejnowski, and S. Makeig Complex independent component analysis of frequency-domain electroencephalographic data Neural Networks 16 2003 1311 1323 (Pubitemid 37386370)
    • (2003) Neural Networks , vol.16 , Issue.9 , pp. 1311-1323
    • Anemuller, J.1    Sejnowski, T.J.2    Makeig, S.3
  • 39
    • 33745219876 scopus 로고    scopus 로고
    • Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
    • DOI 10.1016/j.neucom.2005.12.029, PII S0925231205003425
    • J. Anemüller, J. Duann, T.J. Sejnowski, and S. Makeig Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis Neurocomputing 69 13-15 2006 1502 1512 (Pubitemid 43906067)
    • (2006) Neurocomputing , vol.69 , Issue.13-15 , pp. 1502-1512
    • Anemuller, J.1    Duann, J.-R.2    Sejnowski, T.J.3    Makeig, S.4
  • 40
    • 0041324801 scopus 로고    scopus 로고
    • Variational Bayesian learning of ICA with missing data
    • DOI 10.1162/08997660360675116
    • K. Chan, T.-W. Lee, and T.J. Sejnowski Variational Bayesian learning of ICA with missing data Neural Computation 15 8 2003 1991 2011 (Pubitemid 37035555)
    • (2003) Neural Computation , vol.15 , Issue.8 , pp. 1991-2011
    • Chan, K.1    Lee, T.-W.2    Sejnowski, T.J.3
  • 41
    • 34547454757 scopus 로고    scopus 로고
    • Variational and stochastic inference for Bayesian source separation
    • DOI 10.1016/j.dsp.2007.03.008, PII S1051200407000358, Bayesian Source Separation
    • A.T. Cemgil, C. Févotte, and S.J. Godsill Variational and stochastic inference for Bayesian source separation Digital Signal Processing 17 2007 891 913 (Pubitemid 47176909)
    • (2007) Digital Signal Processing: A Review Journal , vol.17 , Issue.5 , pp. 891-913
    • Cemgil, A.T.1    Fevotte, C.2    Godsill, S.J.3
  • 44
    • 83655166326 scopus 로고    scopus 로고
    • Bayesian estimation of overcomplete independent feature subspaces for natural images
    • L. Ma, and L. Zhang Bayesian estimation of overcomplete independent feature subspaces for natural images ICA 2007 746 753
    • (2007) ICA , pp. 746-753
    • Ma, L.1    Zhang, L.2
  • 45
    • 0036762484 scopus 로고    scopus 로고
    • Estimating overcomplete independent component bases for image windows
    • DOI 10.1023/A:1020633503820
    • A. Hyvärinen, and M. Inki Estimating overcomplete independent component bases for image windows Journal of Mathematical Imaging and Vision 17 2 2002 139 152 (Pubitemid 35427052)
    • (2002) Journal of Mathematical Imaging and Vision , vol.17 , Issue.2 , pp. 139-152
    • Hyvarinen, A.1    Inki, M.2
  • 46
    • 0001710505 scopus 로고
    • Analysis of a complex of statistical variables into principal components
    • H. Hotelling Analysis of a complex of statistical variables into principal components Journal of Educational Psychology 24 1933 417 441
    • (1933) Journal of Educational Psychology , vol.24 , pp. 417-441
    • Hotelling, H.1
  • 47
    • 33646229542 scopus 로고    scopus 로고
    • Independent subspace analysis using k-nearest neighborhood distances
    • B. Póczos, and A. Lrincz Independent subspace analysis using k-nearest neighborhood distances ICANN 2005 163 168
    • (2005) ICANN , pp. 163-168
    • Póczos, B.1    Lrincz, A.2
  • 49
    • 1842477730 scopus 로고    scopus 로고
    • Uniqueness of complex and multidimensional independent component analysis
    • F.J. Theis Uniqueness of complex and multidimensional independent component analysis Signal Processing 84 5 2004 951 956
    • (2004) Signal Processing , vol.84 , Issue.5 , pp. 951-956
    • Theis, F.J.1
  • 50
    • 84864031064 scopus 로고    scopus 로고
    • Towards a general independent subspace analysis
    • F.J. Theis Towards a general independent subspace analysis NIPS 2007 1361 1368
    • (2007) NIPS , pp. 1361-1368
    • Theis, F.J.1
  • 51
    • 0000717513 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, in: NIPS, 1996, pp. 757763.
    • (1996) NIPS , pp. 757763
    • Amari, S.1    Cichocki, A.2    Yang, H.H.3
  • 52
    • 84855256089 scopus 로고    scopus 로고
    • Nonparametric independent process analysis
    • Z. Szabó, and B. Póczos Nonparametric independent process analysis EUSIPCO 2011 1718 1722
    • (2011) EUSIPCO , pp. 1718-1722
    • Szabó, Z.1    Póczos, B.2
  • 56
    • 84979879849 scopus 로고    scopus 로고
    • Algorithms for joint block diagonalization
    • K. Abed-Meraim, and A. Belouchrani Algorithms for joint block diagonalization EUSIPCO 2004 209 212
    • (2004) EUSIPCO , pp. 209-212
    • Abed-Meraim, K.1    Belouchrani, A.2
  • 57
    • 73849142491 scopus 로고    scopus 로고
    • Multidimensional independent component analysis using characteristic functions
    • F.J. Theis Multidimensional independent component analysis using characteristic functions EUSIPCO 2005
    • (2005) EUSIPCO
    • Theis, F.J.1
  • 58
    • 83655199395 scopus 로고    scopus 로고
    • Independent subspace analysis using three scatter matrices
    • K. Nordhausen, and H. Oja Independent subspace analysis using three scatter matrices Austrian Journal of Statistics 40 1-2 2011 93 101
    • (2011) Austrian Journal of Statistics , vol.40 , Issue.12 , pp. 93-101
    • Nordhausen, K.1    Oja, H.2
  • 59
    • 33646394047 scopus 로고    scopus 로고
    • Independent subspace analysis on innovations
    • B. Póczos, B. Takács, and A. Lrincz Independent subspace analysis on innovations ECML 2005 698 706
    • (2005) ECML , pp. 698-706
    • Póczos, B.1    Takács, B.2    Lrincz, A.3
  • 62
    • 0002537923 scopus 로고    scopus 로고
    • Estimation of parameters and eigenmodes of multivariate autoregressive models
    • DOI 10.1145/382043.382304
    • A. Neumaier, and T. Schneider Estimation of parameters and eigenmodes of multivariate autoregressive models ACM Transactions on Mathematical Software 27 1 2001 27 57 (Pubitemid 33609114)
    • (2001) ACM Transactions on Mathematical Software , vol.27 , Issue.1 , pp. 27-57
    • Neumaier, A.1    Schneider, T.2
  • 63
    • 0002537922 scopus 로고    scopus 로고
    • Algorithm 808: ARFIT - A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models
    • DOI 10.1145/382043.382316
    • T. Schneider, and A. Neumaier Algorithm 808: ARfit - a Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models ACM Transactions on Mathematical Software 27 1 2001 58 65 (Pubitemid 33609115)
    • (2001) ACM Transactions on Mathematical Software , vol.27 , Issue.1 , pp. 58-65
    • Schneider, T.1    Neumaier, A.2
  • 64
    • 33751206535 scopus 로고    scopus 로고
    • Differential learning algorithms for decorrelation and independent component analysis
    • DOI 10.1016/j.neunet.2006.06.002, PII S089360800600133X
    • S. Choi Differential learning algorithms for decorrelation and independent component analysis Neural Networks 19 10 2006 1558 1567 (Pubitemid 44793169)
    • (2006) Neural Networks , vol.19 , Issue.10 , pp. 1558-1567
    • Choi, S.1
  • 66
    • 38049132542 scopus 로고    scopus 로고
    • Undercomplete blind subspace deconvolution via linear prediction
    • Z. Szabó, B. Póczos, and A. Lrincz Undercomplete blind subspace deconvolution via linear prediction ECML 2007 740 747
    • (2007) ECML , pp. 740-747
    • Szabó, Z.1    Póczos, B.2    Lrincz, A.3
  • 67
    • 38149101805 scopus 로고    scopus 로고
    • Independent process analysis without a priori dimensional information
    • B. Póczos, Z. Szabó, M. Kiszlinger, and A. Lrincz Independent process analysis without a priori dimensional information ICA 2007 252 259
    • (2007) ICA , pp. 252-259
    • Póczos, B.1    Szabó, Z.2    Kiszlinger, M.3    Lrincz, A.4
  • 68
    • 67149134769 scopus 로고    scopus 로고
    • Complete blind subspace deconvolution
    • Z. Szabó Complete blind subspace deconvolution ICA 2009 138 145
    • (2009) ICA , pp. 138-145
    • Szabó, Z.1
  • 69
    • 0031356330 scopus 로고    scopus 로고
    • Blind signal deconvolution by spatio-temporal decorrelation and demixing
    • S. Choi, and A. Cichocki Blind signal deconvolution by spatio-temporal decorrelation and demixing Neural Networks for Signal Processing 7 1997 426 435
    • (1997) Neural Networks for Signal Processing , vol.7 , pp. 426-435
    • Choi, S.1    Cichocki, A.2
  • 71
    • 0029765183 scopus 로고    scopus 로고
    • Blind separation of convolutive mixtures using second and fourth order moments
    • S. Icart, R. Gautier, Blind separation of convolutive mixtures using second and fourth order moments, in: ICASSP 1996, pp. 30183021.
    • (1996) ICASSP , pp. 30183021
    • Icart, S.1    Gautier, R.2
  • 73
    • 38349015012 scopus 로고    scopus 로고
    • Post nonlinear independent subspace analysis
    • Z. Szabó, B. Póczos, G. Szirtes, and A. Lrincz Post nonlinear independent subspace analysis ICANN 2007 677 686
    • (2007) ICANN , pp. 677-686
    • Szabó, Z.1    Póczos, B.2    Szirtes, G.3    Lrincz, A.4
  • 74
    • 0033341734 scopus 로고    scopus 로고
    • Source separation in post-nonlinear mixtures
    • DOI 10.1109/78.790661
    • A. Taleb, and C. Jutten Source separation in post-nonlinear mixtures IEEE Transactions on Signal Processing 10 47 1999 2807 2820 (Pubitemid 30514923)
    • (1999) IEEE Transactions on Signal Processing , vol.47 , Issue.10 , pp. 2807-2820
    • Taleb, A.1    Jutten, C.2
  • 75
    • 8344255796 scopus 로고    scopus 로고
    • Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
    • A. Ziehe, M. Kawanabe, S. Harmeling, and K.-R. Müller Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation Journal of Machine Learning Research 4 7-8 2003 1319 1338
    • (2003) Journal of Machine Learning Research , vol.4 , Issue.78 , pp. 1319-1338
    • Ziehe, A.1    Kawanabe, M.2    Harmeling, S.3    Müller, K.-R.4
  • 76
    • 21744439355 scopus 로고    scopus 로고
    • Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems
    • DOI 10.1016/j.sigpro.2004.11.030, PII S0165168405001088
    • J. Solé-Casals, C. Jutten, and D. Pham Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems Signal Processing 85 2005 1780 1786 (Pubitemid 40940839)
    • (2005) Signal Processing , vol.85 , Issue.9 , pp. 1780-1786
    • Sole-Casals, J.1    Jutten, C.2    Pham, D.T.3
  • 77
    • 33745701263 scopus 로고    scopus 로고
    • Complex random vectors and ICA models: Identifiability, uniqueness, and separability
    • DOI 10.1109/TIT.2005.864440
    • J. Eriksson Complex random vectors and ICA models: identifiability, uniqueness and separability IEEE Transactions on Information Theory 52 3 2006 1017 1029 (Pubitemid 46444889)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.3 , pp. 1017-1029
    • Eriksson, J.1    Koivunen, V.2
  • 78
    • 34249321929 scopus 로고    scopus 로고
    • Real and complex independent subspace analysis by generalized variance
    • Z. Szabó, and A. Lrincz Real and complex independent subspace analysis by generalized variance ICARN 2006 85 88
    • (2006) ICARN , pp. 85-88
    • Szabó, Z.1    Lrincz, A.2
  • 79
    • 58849164502 scopus 로고    scopus 로고
    • Natural conjugate gradient on complex flag manifolds for complex independent subspace analysis
    • Y. Nishimori, S. Akaho, and M.D. Plumbley Natural conjugate gradient on complex flag manifolds for complex independent subspace analysis ICANN 2008 165 174
    • (2008) ICANN , pp. 165-174
    • Nishimori, Y.1    Akaho, S.2    Plumbley, M.D.3
  • 80
    • 0001063125 scopus 로고
    • Complex elliptically symmetric distributions
    • P. Krishnaiah, and J. Lin Complex elliptically symmetric distributions Communications in Statistics 15 12 1986 3693 3718
    • (1986) Communications in Statistics , vol.15 , Issue.12 , pp. 3693-3718
    • Krishnaiah, P.1    Lin, J.2
  • 81
    • 84855295003 scopus 로고    scopus 로고
    • Towards independent subspace analysis in controlled dynamical systems
    • Z. Szabó, and A. Lrincz Towards independent subspace analysis in controlled dynamical systems ICARN 2008 9 12
    • (2008) ICARN , pp. 9-12
    • Szabó, Z.1    Lrincz, A.2
  • 82
    • 84855265195 scopus 로고    scopus 로고
    • Autoregressive independent process analysis with missing observations
    • Z. Szabó Autoregressive independent process analysis with missing observations ESANN 2010 159 164
    • (2010) ESANN , pp. 159-164
    • Szabó, Z.1
  • 84
    • 61749089973 scopus 로고    scopus 로고
    • Identification of recurrent neural networks by Bayesian interrogation techniques
    • B. Póczos, and A. Lrincz Identification of recurrent neural networks by Bayesian interrogation techniques Journal of Machine Learning Research 10 2009 515 554
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 515-554
    • Póczos, B.1    Lrincz, A.2
  • 85
    • 84887002409 scopus 로고
    • Estimation of dynamic econometric models with errors in variables
    • Springer
    • J.T. Lomba Estimation of dynamic econometric models with errors in variables Lecture Notes in Economics and Mathematical Systems vol. 339 1990 Springer
    • (1990) Lecture Notes in Economics and Mathematical Systems , vol.339
    • Lomba, J.T.1
  • 87
    • 0039646598 scopus 로고    scopus 로고
    • Numerical methods for estimation and inference in Bayesian VAR-models
    • K.R. Kadiyala, and S. Karlsson Numerical methods for estimation and inference in Bayesian VAR-models Journal of Applied Economics 12 1997 99 132
    • (1997) Journal of Applied Economics , vol.12 , pp. 99-132
    • Kadiyala, K.R.1    Karlsson, S.2
  • 88
    • 0003471079 scopus 로고    scopus 로고
    • Nonparametric statistics for stochastic processes: Estimation and prediction
    • Springer
    • D. Bosq Nonparametric statistics for stochastic processes: estimation and prediction Lecture Notes in Statistics 1998 Springer
    • (1998) Lecture Notes in Statistics
    • Bosq, D.1
  • 93
    • 0002030118 scopus 로고
    • Asymptotic formulae for numerical functions which occur in the theory of partitions
    • J.V. Uspensky Asymptotic formulae for numerical functions which occur in the theory of partitions Bulletin of the Russian Academy of Sciences 14 6 1920 199 218
    • (1920) Bulletin of the Russian Academy of Sciences , vol.14 , Issue.6 , pp. 199-218
    • Uspensky, J.V.1
  • 94
    • 33748430475 scopus 로고    scopus 로고
    • Non-combinatorial estimation of independent autoregressive sources
    • DOI 10.1016/j.neucom.2006.02.008, PII S0925231206001275, Brain Inspired Cognitive Systems Selected papers from the 1st International Conference on Brain Inspired Cognitive Systems (BICS 2004)
    • B. Póczos, and A. Lrincz Non-combinatorial estimation of independent autoregressive sources Neurocomputing Letters 69 2006 2416 2419 (Pubitemid 44340616)
    • (2006) Neurocomputing , vol.69 , Issue.16-18 , pp. 2416-2419
    • Poczos, B.1    Lorincz, A.2
  • 95
    • 73849086034 scopus 로고    scopus 로고
    • Auto-regressive independent process analysis without combinatorial efforts
    • Z. Szabó, B. Póczos, and A. Lrincz Auto-regressive independent process analysis without combinatorial efforts Pattern Analysis & Applications 13 2010 1 13
    • (2010) Pattern Analysis & Applications , vol.13 , pp. 1-13
    • Szabó, Z.1    Póczos, B.2    Lrincz, A.3
  • 96
    • 38049113161 scopus 로고    scopus 로고
    • Independent subspace analysis can cope with the curse of dimensionality
    • Z. Szabó, and A. Lrincz Independent subspace analysis can cope with the curse of dimensionality Acta Cybernetica (Symp. Intell. Syst. 2006) 18 2007 213 221
    • (2007) Acta Cybernetica (Symp. Intell. Syst. 2006) , vol.18 , pp. 213-221
    • Szabó, Z.1    Lrincz, A.2
  • 97
    • 67149137841 scopus 로고    scopus 로고
    • Hierarchical extraction of independent subspaces of unknown dimensions
    • P. Gruber, H.W. Gutch, and F.J. Theis Hierarchical extraction of independent subspaces of unknown dimensions ICA 2009 259 266
    • (2009) ICA , pp. 259-266
    • Gruber, P.1    Gutch, H.W.2    Theis, F.J.3
  • 99
    • 70350657266 scopus 로고    scopus 로고
    • Fast approximate spectral clustering
    • D. Yan, L. Huang, and M.I. Jordan Fast approximate spectral clustering KDD 2009 907 916
    • (2009) KDD , pp. 907-916
    • Yan, D.1    Huang, L.2    Jordan, M.I.3


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