Semi-nonnegative joint diagonalization by congruence and semi-nonnegative ICA
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Lotfi Senhadji | Laurent Albera | Julie Coloigner | Amar Kachenoura | Fanny Noury | A. Kachenoura | L. Senhadji | L. Albera | J. Coloigner | F. Noury | Julie Coloigner
[1] Laurent Albera,et al. Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors , 2014 .
[2] Eric Moulines,et al. A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..
[3] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[4] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[5] Are Hjørungnes,et al. Complex-Valued Matrix Differentiation: Techniques and Key Results , 2007, IEEE Transactions on Signal Processing.
[6] Pierre Comon,et al. Enhanced Line Search: A Novel Method to Accelerate PARAFAC , 2008, SIAM J. Matrix Anal. Appl..
[7] P. Comon. Independent Component Analysis , 1992 .
[8] Pierre Comon,et al. Computing the polyadic decomposition of nonnegative third order tensors , 2011, Signal Process..
[9] Dinh Tuan Pham,et al. Joint Approximate Diagonalization of Positive Definite Hermitian Matrices , 2000, SIAM J. Matrix Anal. Appl..
[10] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[11] P. Paatero. A weighted non-negative least squares algorithm for three-way ‘PARAFAC’ factor analysis , 1997 .
[12] Chang-Yeong Kim,et al. Multiple object decomposition based on independent component analysis of multi-energy x-ray projections , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[13] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[14] Jean-Jacques Bellanger,et al. Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution , 2011, Prostate Cancer Imaging.
[15] A. Franc. Etude algébrique des multitableaux : apports de l'algèbre tensorielle , 1992 .
[16] P. Weil,et al. Simulation of excess phase in bipolar transistors , 1978 .
[17] Joe Brewer,et al. Kronecker products and matrix calculus in system theory , 1978 .
[18] Lotfi Senhadji,et al. Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICAexp Method , 2010, LVA/ICA.
[19] D. Brie,et al. Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling , 2006, IEEE Transactions on Signal Processing.
[20] P. Comon,et al. Tensor decompositions, alternating least squares and other tales , 2009 .
[21] Henk A. L. Kiers,et al. Some clarifications of the CANDECOMP algorithm applied to INDSCAL , 1991 .
[22] P. Comon,et al. Ica: a potential tool for bci systems , 2008, IEEE Signal Processing Magazine.
[23] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[24] Liqun Qi,et al. New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions , 2011, IEEE Transactions on Signal Processing.
[25] Marian Stewart Bartlett,et al. Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.
[26] Jérôme Pagès,et al. INDSCAL model: geometrical interpretation and methodology , 2006 .
[27] Yoshio Takane,et al. Applications of Multidimensional Scaling in Psychometrics , 2005 .
[28] Theodoros N. Arvanitis,et al. A comparative study of feature extraction and blind source separation of independent component analysis (ICA) on childhood brain tumour 1H magnetic resonance spectra , 2009, NMR in biomedicine.
[29] Bijan Afsari,et al. Sensitivity Analysis for the Problem of Matrix Joint Diagonalization , 2008, SIAM J. Matrix Anal. Appl..
[30] Arie Yeredor,et al. Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation , 2002, IEEE Trans. Signal Process..
[31] R. Bro,et al. A fast non‐negativity‐constrained least squares algorithm , 1997 .
[32] Lotfi Senhadji,et al. Canonical decomposition of semi-symmetric semi-nonnegative three-way arrays , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[33] P. Comon,et al. Blind Identification of Overcomplete MixturEs of sources (BIOME) , 2004 .
[34] Christophe Ladroue,et al. Independent component analysis for automated decomposition of in vivo magnetic resonance spectra , 2003, Magnetic resonance in medicine.
[35] Hadi Parastar,et al. Is independent component analysis appropriate for multivariate resolution in analytical chemistry , 2012 .
[36] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .
[37] Rasmus Bro,et al. A comparison of algorithms for fitting the PARAFAC model , 2006, Comput. Stat. Data Anal..
[38] Eric Moreau,et al. A generalization of joint-diagonalization criteria for source separation , 2001, IEEE Trans. Signal Process..
[39] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[40] Nobuhiko Kitawaki,et al. Combined approach of array processing and independent component analysis for blind separation of acoustic signals , 2003, IEEE Trans. Speech Audio Process..
[41] J. Pulkkinen,et al. Independent component analysis to proton spectroscopic imaging data of human brain tumours. , 2005, European journal of radiology.
[42] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[43] Laurent Albera,et al. Multi-way space-time-wave-vector analysis for EEG source separation , 2012, Signal Process..
[44] Yoshio Takane,et al. 11 Applications of Multidimensional Scaling in Psychometrics , 2006 .