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Sorber, L., Van Barel, M., De Lathauwer, L. (2012). Unconstrained optimization of real functions in complex variables. SIAM Journal on Optimization.
Signoretto, M., Olivetti, E., De Lathauwer, L., Suykens, J. (2012). Classification of multichannel signals with cumulant-based kernels. IEEE Transactions on Signal Processing, 60 (5), 2304-2314.
Sorensen, M., De Lathauwer, L., Icart, S., Deneire, L. (2012). On Jacobi-Type methods for blind equalization of paraunitary channels. Signal Processing, 92 (2), 617-624.
Signoretto, M., De Lathauwer, L., Suykens, J. (2011). A kernel-based framework to tensorial data analysis. Neural Networks, 24 (8), 861-874.
Ishteva, M., Absil, P., Van Huffel, S., De Lathauwer, L. (2011). Best low multilinear rank approximation of higher-order tensors, based on the Riemannian trust-region scheme. SIAM Journal on Matrix Analysis and Applications, 32 (1), 115-132.
Karfoul, A., Albera, L., De Lathauwer, L. (2011). Iterative methods for the canonical decomposition of multi-ways arrays : application to blind underdetermined mixture identification. Signal Processing, 91 (8), 1789-1802.
De Lathauwer, L. (2011). Blind separation of exponential polynomials and the decomposition of a tensor in Rank-(Lr,Lr,1) terms. SIAM Journal on Matrix Analysis and Applications, 32 (4), 1451-1474.
De Vos, M., De Lathauwer, L., Van Huffel, S. (2011). Spatially Constrained ICA algorithms with applications in EEG processing. Signal Processing, 91 (8), 1963-1972.
Ishteva, M., Absil, P., Van Huffel, S., De Lathauwer, L. (2010). Tucker compression and local optima. Chemometrics and Intelligent Laboratory Systems, 106 (1), 57-64.
Ishteva, M., De Lathauwer, L., Absil, P., Van Huffel, S. (2009). Differential-geometric Newton method for the best rank-(R1,R2,R3) approximation of tensors. Numerical Algorithms, 51 (2), 179-194.
Comon, P., ten Berge, J., De Lathauwer, L., Castaing, J. (2009). Generic and Typical Ranks of Multi-Way Arrays. Linear Algebra and Its Applications, 430 (11-12), 2997-3007.
Absil, P., Ishteva, M., De Lathauwer, L., Van Huffel, S. (2009). A geometric Newton method for Oja's vector field. Neural Computation, 21 (5), 1415-1433.
Papy, J., De Lathauwer, L., Van Huffel, S. (2009). Exponential data fitting using multilinear algebra : the decimative case. Journal of Chemometrics, 23 (7-8), 341-351.
Nion, D., De Lathauwer, L. (2008). Block component model based blind DS-CDMA receivers. IEEE Transactions on Signal Processing, 56 (11), 5567-5579.
De Lathauwer, L., de Baynast, A. (2008). Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1,L,L) Terms. IEEE Transactions on Signal Processing, 56 (4), 1562-1571.
De Lathauwer, L., Castaing, J. (2008). Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization. IEEE Transactions on Signal Processing, 56 (3), 1096-1105.
Nion, D., De Lathauwer, L. (2008). An Enhanced Line Search Scheme for Complex-Valued Tensor Decompositions. Application in DS-CDMA. Signal Processing, 88 (3), 749-755.
De Lathauwer, L. (2008). Decompositions of a higher-order tensor in block terms - Part I : Lemmas for partitioned matrices. SIAM Journal on Matrix Analysis and Applications, 30 (3), 1022-1032.
Ishteva, M., De Lathauwer, L., Absil, P., Van Huffel, S. (2008). Dimensionality reduction for higher-order tensors: algorithms and applications. International Journal of Pure and Applied Mathematics, 42 (3), 337-343.
Stegeman, A., De Lathauwer, L. (2008). A method to avoid diverging components in the candecomp / parafac model for generic I x J x 2 arrays. SIAM Journal on Matrix Analysis and Applications, 30 (4), 1614-1638.
De Lathauwer, L., Nion, D. (2008). Decompositions of a higher-order tensor in block terms - Part III : Alternating least squares algorithms. SIAM Journal on Matrix Analysis and Applications, 30 (3), 1067-1083.
De Lathauwer, L. (2008). Decompositions of a higher-order tensor in block terms - Part II : Definitions and uniqueness. SIAM Journal on Matrix Analysis and Applications, 30 (3), 1033-1066.
De Vos, M., Vergult, A., De Lathauwer, L., De Clercq, W., Van Huffel, S., Dupont, P., Palmini, A., Van Paesschen, W. (2007). Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage, 37 (3), 844-854.
Papy, J., De Lathauwer, L., Van Huffel, S. (2007). A shift invariance-based order-selection technique for exponential data modelling. IEEE Signal Processing Letters, 14 (7), 473-476.
Boyer, R., De Lathauwer, L., Abed-Meraim, K. (2007). Higher Order Tensor-Based Method for Delayed Exponential Fitting. IEEE Transactions on Signal Processing, 55 (6), 2795-2809.
De Lathauwer, L., Castaing, J., Cardoso, J. (2007). Fourth-order cumulant-based blind identification of underdetermined mixtures. IEEE Transactions on Signal Processing, 55 (6), 2965-2973.
Hoegaerts, L., De Lathauwer, L., Goethals, I., Suykens, J., Vandewalle, J., De Moor, B. (2007). Efficiently updating and tracking the dominant kernel principal components. Neural Networks, 20 (2), 220-229.
De Lathauwer, L., Castaing, J. (2007). Tensor-based techniques for the blind separation of DS-CDMA signals. Signal Processing, 87 (2), 322-336.
De Vos, M., De Lathauwer, L., Vanrumste, B., Van Huffel, S., Van Paesschen, W. (2007). Canonical Decomposition of ictal scalp EEG and accurate source localisation: Principles and simulation study. Computational Intelligence and Neuroscience, 2007 (Article ID 58253), 1-10.
Stegeman, A., ten Berge, J., De Lathauwer, L. (2006). Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices. Psychometrika, 71 (2), 219-229.
Schuermans, M., Lemmerling, P., De Lathauwer, L., Van Huffel, S. (2006). The use of total least squares data fitting in the shape-from-moments problem. Signal Processing, 86 (5), 1109-1115.
Papy, J., De Lathauwer, L., Van Huffel, S. (2006). Common pole estimation in multi-channel exponential data modeling. Signal Processing, 86 (4), 846-858.
De Lathauwer, L., Castaing, J. (2006). Second-order blind identification of underdetermined mixtures. Lecture Notes in Computer Science, 3889, 40-47.
De Lathauwer, L. (2006). A link between the canonical decomposition in multilinear algebra and simultaneous matrix diagonalization. SIAM Journal on Matrix Analysis and Applications, 28 (3), 642-666.
Laudadio, T., Pels, P., De Lathauwer, L., Van Hecke, P., Van Huffel, S. (2005). Tissue segmentation and classification of MRSI data using canonical correlation analysis. Magnetic Resonance in Medicine, 54 (6), 1519-1529.
Papy, J., De Lathauwer, L., Van Huffel, S. (2005). Exponential data fitting using multilinear algebra: The single-channel and multi-channel case. Numerical Linear Algebra With Applications, 12 (8), 809-826.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2005). A prewhitening-induced bound on the identification error in independent component analysis. IEEE Transactions on Circuits and Systems I, Fundamental Theory and Applications, 52 (3), 546-554.
De Lathauwer, L., Vandewalle, J. (2004). Dimensionality reduction in higher-order signal processing and rank-(R-1, R-2, ..., R-N) reduction in multilinear algebra. Linear algebra and its applications, 391, 31-55.
De Lathauwer, L. (2004). First-order perturbation analysis of the best rank-(R-1, R-2, R-3) approximation in multilinear algebra. Journal of chemometrics, 18 (1), 2-11.
Morren, G., Wolf, M., Lemmerling, P., Wolf, U., Choi, J., Gratton, E., De Lathauwer, L., Van Huffel, S. (2004). Detection of fast neuronal signals in the motor cortex from functional near infrared spectroscopy measurements using independent component analysis. Medical & biological engineering & computing, 42 (1), 92-99.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2004). Computation of the canonical decomposition by means of a simultaneous generalized Schur decomposition. SIAM Journal on Matrix Analysis and Applications, 26 (2), 295-327.
Chu, D., De Lathauwer, L., De Moor, B. (2003). A QR-type reduction for computing the SVD of a general matrix product/quotient. Numerische Mathematik, 95 (1), 101-121.
Chen, B., Petropulu, A., De Lathauwer, L. (2002). Blind identification of convolutive MIMO systems with 3 sources and 2 sensors. EURASIP Journal on Applied Signal Processing, 2002 (5), 487-496.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2001). Independent component analysis and (simultaneous) third-order tensor diagonalization. IEEE Transactions on signal processing, 49 (10), 2262-2271.
Chu, D., De Lathauwer, L., De Moor, B. (2001). On the computation of the restricted singular value decomposition via the cosine-sine decomposition. SIAM Journal on Matrix Analysis and Applications, 22 (2), 580-601.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). An introduction to independent component analysis. Journal of chemometrics, 14 (3), 123-149.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). Fetal electrocardiogram extraction by blind source subspace separation. IEEE Transactions on biomedical engineering, 47 (5), 567-572.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). A multilinear singular value decomposition. SIAM Journal on Matrix Analysis and Applications, 21 (4), 1253-1278.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). On the best rank-1 and rank-$(R 1, R 2, ..., R N)$ Approximation and applications of higher-order tensors. SIAM journal on matrix analysis and applications, 21 (4), 1324-1342.
De Lathauwer, L., Comon, P. (1999). Blind source separation and multichannel deconvolution. Signal processing, 73 (1-2), 1-2.
Van Gestel, T., De Moor, B., De Lathauwer, L., Lemmerling, P., Buijs, J., Favoreel, W., Vanderick, L., Depreter, A., Hoornaert, L., Crepel, M. (2000). Survey of specific electric consumptions and consumption profiles of domestic appliances. E tijdschrift (herfst Special issue on les émissions de CO2 due la conversion d'énergie: une analyse dy cycle de vie / De oorsprong van CO2-emissies ten gevolge van energieconversie), 14-19.
(2008). Editorial : special Issue : Tensor decompositions and applications. (De Lathauwer, L., Ed., Comon, P., Ed., Mastronardi, N., Ed.). Society for Industrial and Applied Mathematics.
(1999). Blind source separation and multichannel deconvolution. (De Lathauwer, L., Ed., Comon, P., Ed.). Elsevier Science Pub. Co..
De Vos, M., De Lathauwer, L., Van Huffel, S. (2010). Decomposition methods in Neuroscience. In: Gorriz J., Lang E., Ramirez J. (Eds.), Recent Advances in Biomedical Signal Processing (pp. 1-25). Bussum, Nederland: Bentham Publishers.
De Lathauwer, L. (2010). Algebraic methods after prewhitening. In: Comon P., Jutten C. (Eds.), Handbook of blind source separation, independent component analysis and applications, Chapt. 5 (pp. 155-177) Academic Press.
Comon, P., De Lathauwer, L. (2010). Algebraic identification of underdetermined mixtures. In: Comon P., Jutten C. (Eds.), Handbook of blind source separation, independent component analysis and applications, Chapt. 9 (pp. 325-365) Academic Press.
De Lathauwer, L. (2007). Algorithmes aves Blanchiment utilisant le cumulant d'ordre elevé. In: Comon P., Jutten C. (Eds.), Séparation de sources, Chapt. 5 (pp. 169-196). Paris, France: Hermes.
De Lathauwer, L. (2012). Block Component Analysis, a New Concept for Blind Source Separation. Proc. of 10th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA 2012). 10th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA 2012). Tel-Aviv, Israel, Mar. 2012 (pp. 1-8).
De Lathauwer, L. (2011). A short introduction to tensor-based methods for factor analysis and blind source separation. Proc. of the 7th International Symposium on image and signal processing and analysis (ISPA 2011). 7th International Symposium on image and signal processing and analysis (ISPA 2011). Dubrovnik, Croatia, Sep. 2011 (pp. 558-563).
Domanov, I., De Lathauwer, L. (2011). Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors. Proc. of the 2011 European Signal Processing Conference (EUSIPCO 2011). 2011 European Signal Processing Conference (EUSIPCO 2011). Barcelona, Spain, Aug-Sept, 2011 (pp. 2215-2218).
Sorensen, M., De Lathauwer, L. (2011). Tensor Decompositions with Block-Toeplitz Structure and Applications in Signal Processing. Proc. of the Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011). Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011). Monterey, USA, Nov. 2011 (pp. 1-5).
Nion, D., Vandewoestyne, B., Vanaverbeke, S., Van Den Abeele, K., De Gersem, H., De Lathauwer, L. (2010). A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources. In Vigneron, V. (Ed.), Zarzoso, V. (Ed.), Moreau, E. (Ed.), Gribonval, R. (Ed.), Vincent, E. (Ed.), Latent Variable Analysis and Signal Separation: Vol. 6365. International Conference on Latent Variable Analysis and Signal Separation. St. Malo, France, 27-30 September 2010 (pp. 546-554). Berlin Heidelberg: Springer-Verlag.
Ishteva, M., Absil, P., Van Huffel, S., De Lathauwer, L. (2010). On the best low multilinear rank approximation of higher-order tensors. In Diehl, M. (Ed.), Glineur, F. (Ed.), Jarlebring, E. (Ed.), Michiels, W. (Ed.), Recent Advances in Optimization and its applications in engineering (invited overview paper). Recent Advances in Optimization and its applications in engineering (invited overview paper), 2010 (pp. 145-164) Springer.
Signoretto, M., De Lathauwer, L., Suykens, J. (2010). Convex multilinear estimation and operational representations. Proc. of NIPS Workshop : Tensors, kernels and machine learning (TKML). NIPS Workshop : Tensors, kernels and machine learning (TKML). Whistler, Canada, Dec. 2010.
Domanov, I., De Lathauwer, L. (2010). Enhanced line search for blind channel identification based on the parafac decomposition of cumulant tensors. Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010). 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010). Budapest, Hungary, Jul. 2010 (pp. 1001-1002).
Sorensen, M., De Lathauwer, L. (2010). New simultaneous generalized schur decomposition methods for the computation of the canonical polyadic decomposition. Proc. of the Conference on Signals, Systems and Computers (ASILOMAR 2010). Conference on Signals, Systems and Computers (ASILOMAR 2010). Monterey, USA, Nov. 2010 (pp. 13-17).
Sorensen, M., De Lathauwer, L., Deneire, L. (2010). PARAFAC with orthogonality in one mode and applications in DS-CDMA systems. Prof. of IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP 2010). IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP 2010). Dallas, Texas, Mar. 2010 (pp. 4142-4145).
Signoretto, M., Pelckmans, K., De Lathauwer, L., Suykens, J. (2010). Improved non-parametric sparse recovery with data matched penalties. Proc. of the 2nd International workshop on cognitive information processing (CIP). 2nd International workshop on cognitive information processing (CIP). Elba Island, Italy, apr. 2010.
Vanaverbeke, S., Van Den Abeele, K., Nion, D., De Lathauwer, L. (2010). Separation of multiple scatterers in NEWS experiments using Independent Component Analysis (ICA). Physics Procedia: Proceedings of the International Congress on Ultrasonics: Vol. 3 (1). International Congress on Ultrasonics. Santiago di Chile, 11-17 jan 2009 (pp. 49-54).
Signoretto, M., De Lathauwer, L., Suykens, J. (2010). Kernel-based learning from infinite dimensional 2-way tensors. In Diamantaras, K. (Ed.), Duch, W. (Ed.), Iliadis, L. (Ed.), Proc. of the 20th International Conference on Artificial Neural Networks (ICANN 2010), LNCS 6353. 20th International Conference on Artificial Neural Networks (ICANN 2010). Thessaloniki, Greece, Sep. 2010 (pp. 59-69) Springer.
Ishteva, M., Absil, P., Van Huffel, S., De Lathauwer, L. (2010). Local minima of the best low multilinear rank approximation of tensors. Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010). 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010). Budapest, Hungary, Jul. 2010 (pp. 2145-2146).
Liu, X., De Lathauwer, L., Janssens, F., De Moor, B. (2010). Hybrid Clustering on Multiple Information Sources via HOSVD. Proc. of The Seventh International Symposium on Neural Networks (ISNN 2010). The Seventh International Symposium on Neural Networks (ISNN 2010). Shanghai, China, Jun. 2010 (pp. 337-345).
Albera, L., Kafoul, A., De Lathauwer, L. (2009). Décomposition Canonique de Tableaux Hermitiens Semi-Définis positifs d'ordre pair par rotation procustienne application à l'ICA. Proc. of the 22ieme Colloque GRETSI sur le Traitement du Signal et des Images. 22ieme Colloque GRETSI sur le Traitement du Signal et des Images. Dijon, France, Sep. 2009.
Navasca, C., De Lathauwer, L. (2009). Low Multilinear Rank Tensor Approximation via Semidefinite Programming. Proceedings 17th European Signal Processing Conference (EUSIPCO 2009). 17th European Signal Processing Conference (EUSIPCO 2009). Glasgow, U.K., Aug. 2009 (pp. 520-524).
De Lathauwer, L. (2009). A Survey of Tensor Methods. Proc. of the 2009 IEEE International Symposium on Circuits and Systems (ISCAS 2009). 2009 IEEE International Symposium on Circuits and Systems (ISCAS 2009). Taipei, Taiwan, May 2009 (pp. 2773-2776).
Nion, D., De Lathauwer, L. (2009). A Link between the Decomposition of a Third-Order Tensor in Rank-(L,L,1) Terms and Joint Block Diagonalization'. Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 09). IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 09). Aruba, Dec. 2009 (pp. 92).
Sorensen, M., De Lathauwer, L., Deneire, L. (2009). An Efficient Jacobi-Type Algorithm for Blind Equalization of Paraunitary Channels. Proceedings 17th European Signal Processing Conference (EUSIPCO 2009). 17th European Signal Processing Conference (EUSIPCO 2009). Glasgow, U.K., Aug. 2009.
Ishteva, M., De Lathauwer, L., Absil, P., Van Huffel, S. (2008). The best rank-(R1,R2,R3) approximation of tensors by means of a geometric Newton method. Proc. of the 6th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2008). 6th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2008). Kos, Greece, Sep. 2008 (pp. 274-277).
Navasca, C., De Lathauwer, L., Kindermann, S. (2008). Swamp reducing technique for tensor decomposition. Proc. of the 16th European Signal Processing Conference (EUSIPCO 2008). 16th European Signal Processing Conference (EUSIPCO 2008). Lausanne, Switzerland, Aug. 2008 (pp. 4p.).
Nion, D., De Lathauwer, L. (2007). A tensor-based blind DS-CDMA receiver using simultaneous matrix diagonalisation. Proc. of the VIII IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2007). VIII IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2007). Helsinki, Finland, Jun. 2007.
De Vos, M., De Lathauwer, L., Van Paesschen, W., Van Huffel, S. (2007). Canonical Decomposition of scalp EEG in epileptic seizure localisation. Proc. of the Asilomar conference on signals, systems and computers; invited paper (asilomar). Asilomar conference on signals, systems and computers; invited paper (asilomar). Asilomar, California, Nov. 2007 (pp. 4 pp.).
De Vos, M., De Lathauwer, L., Van Huffel, S. (2007). Second order algorithm for imposing independence constraints to the CP model. Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 08). IEEE International Symposium on Circuits and Systems (ISCAS 08). Seattle, USA, May, 2007 (pp. 1344-1347).
De Vos, M., De Lathauwer, L., Van Huffel, S. (2007). Imposing independence constraints in the CP model. Proc. of the 7th international conference on independent component analysis (ICA 07). 7th international conference on independent component analysis (ICA 07). London, England, Sep. 2007.
Nion, D., De Lathauwer, L. (2007). Block Receivers Based on Tensor Decompositions. Application in DS-CDMA and Over-sampled Systems. Proc. of the Asilomar Conference on Signals, Systems, and Computers (Asilomar 2007). Asilomar Conference on Signals, Systems, and Computers (Asilomar 2007). Pacific Grove, California, Nov. 2007 (pp. 5).
De Vos, M., De Lathauwer, L., Vanrumste, B., Deburchgraeve, W., Van Paesschen, W., Van Huffel, S. (2007). Canonical Decomposition of scalp EEG as preprocessing for source localisation. Proc. of the the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain (nfsi 07). the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain (nfsi 07). Hangzhou, China, Oct. 2007 (pp. 377-400).
Ishteva, M., De Lathauwer, L., Van Huffel, S. (2006). Comparison of the performance of matrix and tensor based multi-channel harmonic analysis. Proc. of the 7th International Conference on Mathematics in Signal Processing. 7th International Conference on Mathematics in Signal Processing. Cirencester, UK, Dec. 2006 (pp. 77-80).
De Vos, M., Vergult, A., De Lathauwer, L., De Clercq, W., Van Huffel, S., Dupont, P., Palmini, A., Van Paesschen, W. (2006). Canonical decomposition of ictal EEG reliably detects the seizure onset zone. Proc. of the American Epilepsy Society conference (AES). American Epilepsy Society conference (AES). San Diego, US, Dec. 2006 (pp. 1029).
Nion, D., De Lathauwer, L. (2006). Levenberg-Marquardt Computation of the Block Factor Model for Blind Multi-user Access in Wireless Communications. Proc. of the 14th European Signal Processing Conference (Eusipco 2006). 14th European Signal Processing Conference (Eusipco 2006). Florence, Italy, Sep. 2006.
De Vos, M., De Lathauwer, L., Vergult, A., De Clercq, W., Van Paesschen, W., Van Huffel, S. (2006). Jacobi iterations for spatially constrained Independent Component Analysis. Proc. of the 7th international conference on methematics in signal processing (IMA 2007). 7th international conference on methematics in signal processing (IMA 2007). Cirencester, England, Dec. 2007 (pp. 38-41).
Nion, D., De Lathauwer, L. (2006). A Block Factor Analysis Based Receiver for Blind Multi-user Access in Wireless Communications. Proc. of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). Toulouse, France, May 2006 (pp. 825-828).
Nion, D., De Lathauwer, L. (2006). Line Search Computation of the Block Factor Model for Blind Multi-user Access in Wireless Communications. Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2006). IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2006). Cannes, France, Jul. 2006 (pp. 5).
De Lathauwer, L., Castaing, J. (2006). Second-Order Blind Identification of Underdetermined Mixtures. Proc. of the 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2006). 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2006). Charleston, South Carolina, Mar. 2006 (pp. 40-47).
Boyer, R., De Lathauwer, L., Abed-Meraim, K. (2005). Delayed Exponential Fitting by Best Tensor Rank-$ Approximation. Proc. of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005). 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005). Philadelphia, PA, Mar. 2005 (pp. IV-269-IV-272).
De Lathauwer, L. (2005). Parallel Factor Analysis by Means of Simultaneous Matrix Decompositions. Proc. of the First IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2005). First IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2005). Puerto Vallarta, Mexico, Dec. 2005 (pp. 125-128).
Laudadio, T., Pels, P., De Lathauwer, L., Van Hecke, P., Van Huffel, S. (2005). Unsupervised tissue segmentation of MRSI data using Canonical Correlation Analysis. Proc. of the 2nd International Conference on Computational Intelligence in Medical and Healthcare (CIMED2005). 2nd International Conference on Computational Intelligence in Medical and Healthcare (CIMED2005). Lisbon, Portugal, Jul. 2005 (pp. 77-83).
De Lathauwer, L., Vandewalle, J. (2004). Dimensionality reduction in ICA and rank-(R-1, R-2, ..., R-N) reduction in multilinear algebra. Proc. of the fifth International Conference on Independent component analysis and blind signal separation (ICA 2004): Vol. 3195. International Conference on Independent component analysis and blind signal separation (ICA 2004). Granada, Spain, Sep. 2004 (pp. 295-302) Springer-verlag berlin.
De Lathauwer, L. (2004). Algebraic techniques for the blind deconvolution of constant modulus signals. Proc. of the 12th European Signal Processing Conference (EUSIPCO 2004). 12th European Signal Processing Conference (EUSIPCO 2004). Vienna, Austria, Sep. 2004 (pp. 225-228).
De Lathauwer, L., Hoegaerts, L., Vandewalle, J. (2004). A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA. Proc. of the Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004). Granada, Spain, Sep. 2004 (pp. 335-342).
Hoegaerts, L., De Lathauwer, L., Suykens, J., Vandewalle, J. (2004). Efficiently updating and tracking the dominant Kernel Eigenspace. Proc. of the the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004). the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004). Leuven, Belgium, Jul. 2004.
Cruces, S., Cichocki, A., De Lathauwer, L. (2004). Thin QR and SVD factorizations for simultaneous blind signal extraction. Proc. of the 12th European Signal Processing Conference (EUSIPCO 2004). 12th European Signal Processing Conference (EUSIPCO 2004). Vienna, Austria, Sep. 2004 (pp. 217-220).
Castaing, J., De Lathauwer, L. (2004). An algebraic technique for the blind separation of DS-CDMA signals. Proc. of the 12th European Signal Processing Conference (EUSIPCO 2004). 12th European Signal Processing Conference (EUSIPCO 2004). Vienna, Austria, Sep. 2004 (pp. 377-380).
Vandewalle, J., De Lathauwer, L., Comon, P. (2003). The generalized higher order singular value decomposition and the oriented signal-to-signal ratios of pairs of signal tensors and their use in signal processing. Proc. of the European Conference on Circuit Theory and Design (ECCTD'03). European Conference on Circuit Theory and Design (ECCTD'03). Cracow, Poland, Sep. 2003 (pp. I - 389-I - 392).
De Lathauwer, L. (2003). The canonical decomposition and blind identification with more inputs than outputs : Some algebraic results. Proc. of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Nara, Japan, Apr. 2003 (pp. 781-784).
De Lathauwer, L. (2003). Simultaneous Matrix Diagonalization : the Overcomplete Case. Proc. of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Nara, Japan, Apr. 2003 (pp. 821-825).
de Baynast, A., De Lathauwer, L., Aazhang, B. (2003). Blind PARAFAC Receivers for Multiple Access - Multiple Antenna Systems. Proc. of the IEEE Semiannual Vehicular Technology Conference (VTC'03). IEEE Semiannual Vehicular Technology Conference (VTC'03). Orlando, FL, Oct. 2003 (pp. 5).
Seghouane, A., De Lathauwer, L. (2003). A Bootstrap Model Selection Criterion Based on Kullback's Symmetric Divergence. Proc. of the IEEE Workshop on Statistical Signal Processing (SSP'03). IEEE Workshop on Statistical Signal Processing (SSP'03). St. Louis, Missouri, Sep. 2003 (pp. 4).
De Lathauwer, L., De Moor, B., Vandewalle, J., Cardoso, J. (2003). Independent component analysis of largely underdetermined mixtures. Proc. of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003). Nara, Japan, Apr. 2003 (pp. 29-34).
de Baynast, A., Aazhang, A., Declercq, D., De Lathauwer, L. (2003). Bayesian blind parafac receivers for DS-CDMA systems. Proc. of the IEEE workshop on statistical signal processing (SSP'03). IEEE workshop on statistical signal processing (SSP'03). St. Louis, Missouri, Sep. 2003 (pp. 4).
De Lathauwer, L., De Moor, B., Vandewalle, J. (2002). An algebraic algorithm for ICA with more sources than sensors. In McWhirter, V. (Ed.), Proudler, I. (Ed.), Mathematics in Signal Processing: Vol. V. IMA international conference on mathematics in signal processing. Warwick, U.K., December 18-20, 2000 (pp. 37-46). Oxford (UK): Clarendon Press.
De Lathauwer, L., De Moor, B. (2002). On the blind separation of a class of non-circular complex sources. Proc. XIth European Signal Processing Conference (EUSIPCO 2002). XIth European Signal Processing Conference (EUSIPCO 2002). Toulouse, France, Sep. 2002 (pp. 4).
Chen, B., Petropulu, A., De Lathauwer, L. (2002). Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors. Proc. of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002). 2002 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002). Orlando, Florida, May 2002 (pp. 4).
Morren, G., Wolf, M., Lemmerling, P., Wolf, U., Choi, J., Gratton, E., De Lathauwer, L., Van Huffel, S. (2002). Extraction of fast neuronal changes from multichannel, functional near infrared spectroscopy signals using independent component analysis. Proceedings of SPIE. Progress in biomedical optics and imaging, vol. 3, no. 15 (SPIE-BiOS2002): Vol. 4623. SPIE-BiOS2002. San Jose, California, Jan. 2002 (pp. 68-76).
de Baynast, A., Fijalkow, I., De Lathauwer, L. (2001). Egalisation aveugle multi-utilisateurs de signaux DS-CDMA avec sequence d'embrouillage. Proc. 18e colloque GRETSI sur le traitement du signal et des images (GRETSI'01), Toulouse, France. - 2001 - p. 27-30. Colloque GRETSI sur le traitement du signal et des images (GRETS'01). Toulouse, France, Dept. 10-12, 2001 (pp. 27-30).
Chen, B., Petropulu, A., De Lathauwer, L. (2001). Blind identification of convolutive MIMO system with 3 sources and 2 sensors. Proc. of the 2001 Conference on Information Sciences and Systsems. Conference on information science and systems (CISS 2001). Baltimore, Maryland, March 2001.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). SVD-based methodologies for fetal electrocardiogram extraction. Proceedings of the IEEE International conference on acoustics, speech and signal processing (ICASSP 2000), Istanbul, Turkey, June 2000. - Piscataway: IEEE Signal Processing Society. International conference on acoustics, speech and signal processing (ICASSP). Istanbul, 5 - 9 June 2000 (pp. 3771-3774).
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). An Algebraic Approach to the Blind Identification of Paraunitary Filters. Proc. of the IEEE Wireless Communications and Networking Conference 2000 (WCNC 2000). IEEE Wireless Communications and Networking Conference 2000 (WCNC 2000). Chicago, USA, Sep. 2000 (pp. 4).
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). An algebraic ICA algorithm for 3 sources and 2 sensors. Proceedings of the Xth European signal processing conference (EUSIPCO 2000), Tampere, Finland, September 2000. European signal processing conference (EUSIPCO 2000). Tampere, Finland, Sep. 2000.
Chen, B., Petropulu, A., De Lathauwer, L., De Moor, B. (2000). Blind MIMO System Identification Based on Cross-Polyspectra. Proc. of the Xth European Signal Processing Conference (EUSIPCO 2000). Xth European Signal Processing Conference (EUSIPCO 2000). Tampere, Finland, Sept. 2000 (pp. CD-ROM).
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). An algebraic approach to blind MIMO identification. Proceedings of the 2nd international workshop on independent component analysis and blind source separation (ICA2000), Helsinki, Finland, June 2000. - p. 211-214. International workshop on independent component analysis and blind source separation (ICA2000). Helsinki, 19-22 June 2000 (pp. 211-214).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1999). ICA techniques for more sources than sensors. Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99). IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99). Caesarea, Israel, Jun. 1999 (pp. 121-124).
De Lathauwer, L., Comon, P., De Moor, B., Vandewalle, J. (1999). ICA algorithms for 3 sources and 2 sensors. Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99). IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99). Caesarea, Israel, Jun. 1999 (pp. 116-120).
Cambre, J., De Lathauwer, L., De Moor, B. (1999). Best rank-(R,R,R) super-symmetric tensor approximation - a continuous-time approach. Proc. IEEE Signal Processing Workshop on Higher-Order Statistics (HOS 99). IEEE Signal Processing Workshop on Higher-Order Statistics (HOS 99). Caesarea, Israel, Jun. 1999 (pp. 242-246).
De Lathauwer, L., De Moor, B. (1998). From Matrix to Tensor : Multilinear Algebra and Signal Processing. In McWhirter, J. (Ed.), Mathematics in Signal Processing IV. Selected papers presented at 4th IMA Int. Conf. on Mathematics in Signal Processing. 4th IMA Int. Conf. on Mathematics in Signal Processing, 1998 (pp. 1-15). Oxford, United Kingdom: Oxford University Press.
De Lathauwer, L., Vandewalle, J. (1998). A Residual Bound for the Mixing Matrix in ICA. Proc. of the IXth European Signal Processing Conference (EUSIPCO-98). IXth European Signal Processing Conference (EUSIPCO-98). Rhodos, Greece, Sep. 1998 (pp. 2065-2068).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1997). Dimensionality Reduction in Higher-Order-Only ICA. Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS-97). IEEE Signal Processing Workshop on Higher-Order Statistics (HOS-97). Banff, Canada, Jul. 1997 (pp. 316-320).
De Lathauwer, L., De Moor, B. (1996). From matrix to tensor : multilinear algebra and signal processing. Conf. Digest of the 4th IMA International conference on Mathematics in Signal Processing. 4th IMA International conference on Mathematics in Signal Processing. Warwick,U.K., Dec. 1996 (pp. 1-11).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1996). A technique for higher-order-only blind source separation. Proc. of the International Conference on Neural Information Processing (ICONIP'96). International Conference on Neural Information Processing (ICONIP'96). Hong Kong, China, Sep. 1996 (pp. 1223-1228).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1996). Independent component analysis based on higher-order statistics only. Proc. of the 8th IEEE SP Workshop on Statistical Signal and Array Processing (SSAP'96). 8th IEEE SP Workshop on Statistical Signal and Array Processing (SSAP'96). Corfu, Greece, Jun. 1996 (pp. 356-359).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1996). Blind source separation by simultaneous third-order tensor diagonalization. Proc. of the 8th European Signal Processing Conference (EUSIPCO'96). 8th European Signal Processing Conference (EUSIPCO'96). Trieste, Italy, Sep. 1996 (pp. 2089-2092).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1995). Fetal electrocardiogram extraction by source subspace separation. Prof. of IEEE Signal Processing, Athos workshop on Higher-Order Statistics. Athos workshop on Higher-Order Statistics. Girona, Spain, Jun. 1995 (pp. 134-138).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1995). Canonical decomposition of a fourth-order tensor. Book of abstracts of the Linear Algebra and Applications Conference. Linear Algebra and Applications Conference. Manchester, UK, Jul. 1995 (pp. 3).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1995). The application of higher-order singular value decomposition to independent component analysis. In Moonen, M. (Ed.), De Moor, B. (Ed.), SVD and signal processing III : algorithms, architectures and applications, 1995 (pp. 383-390) Elsevier Publishers.
De Lathauwer, L., Comon, P., De Moor, B., Vandewalle, J. (1995). Higher-order power method - application in independent component analysis. Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA'95). International Symposium on Nonlinear Theory and its Applications (NOLTA'95). Las Vegas, Nevada, Dec. 1995 (pp. 91-96).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1995). Fetal electrocardiogram extraction by independent component analysis. Book of abstracts of the Linear Algebra and Applications Conference. Linear Algebra and Applications Conference. Manchester, UK, Jul. 1995 (pp. 3).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1994). Blind source separation by higher-order singular value decomposition. Proc. of the 7th European Signal Processing Conference (EUSIPCO'94). 7th European Signal Processing Conference (EUSIPCO'94). Edinburgh, UK, Sep. 1994 (pp. 175-178).
De Lathauwer, L., De Moor, B., Vandewalle, J. (1993). A singular value decomposition for higher-order tensors. Proc. of the ATHOS Workshop on System Identification and High-Order Statistics. ATHOS Workshop on System Identification and High-Order Statistics. Nice, France, Sep. 1993 (pp. 3).
Karfoul, A., Albera, L., De Lathauwer, L. (2008). Canonical decomposition of even higher order cumulant arrays for blind underdetermined mixture identification. Proc. of the fifth IEEE sensor array and multichannel signal processing workshop (SAM 2008). fifth IEEE sensor array and multichannel signal processing workshop (SAM 2008). Darmstadt, Germany, Jul. 2008 (pp. 501-505).
Nion, D., De Lathauwer, L. (2007). Separation et Egalisation aveugles de signaux CDMA par la décomposition en blocs d'un tenseur au moyen de l'algorithme de Levenberg-Marquardt. Proc. of the 21ieme Colloque GRETSI sur le traitement du signal et des images (GRETSI 2007). 21ieme Colloque GRETSI sur le traitement du signal et des images (GRETSI 2007). Troyes, France, Sep. 2007 (pp. 245-248).
De Vos, M., De Lathauwer, L., Vergult, A., De Clercq, W., Van Paesschen, W., Van Huffel, S. (2006). Spatially Constrained Independent Component Analysis for real-time eye artifact removal from the electroencephalogram. Proc. of the first Annual Symposium of the IEEE/EMBS Benelux Chapter. (IEEE EMBS). first Annual Symposium of the IEEE/EMBS Benelux Chapter. (IEEE EMBS). Brussel, Belgium, Dec. 2006 (pp. 159-163).
Castaing, J., De Lathauwer, L. (2005). Separation Aveugle de Signaux de Type DS-CDMA à l'Aide de Techniques Algebriques'. Proc. of the 20ieme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2005). 20ieme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2005). Louvain-la-Neuve, Belgium, Sep. 2005.
De Lathauwer, L. (2001). Some multilinear algebraic techniques and their application in independent component analysis. . ENST. Paris, France, March 22, 2001.
De Lathauwer, L. (2001). A Bayesian framework for least squares support vector machine regressors. Benelux meeting on systems and control, Houffalize, Belgium, March 26-28. Benelux meeting on systems and control. Houffalize, Belgium, March, 26-28, 2001 (pp. 115).
De Lathauwer, L., Vandewalle, J., De Moor, B. (1998). Jacobi-Algorithm for Simultaneous Generalized Schur Decomposition in Higher-Order-Only ICA. Proc. of the IEEE Benelux Signal Processing Chapter 1998 Signal Processing Symposium (SPS'98). IEEE Benelux Signal Processing Chapter 1998 Signal Processing Symposium (SPS'98). Leuven, Belgium, Mar. 1998 (pp. 67-70).
Sorber, L., Van Barel, M., De Lathauwer, L. (2012). Optimization-based algorithms for the decomposition of a tensor in rank-$(L_t,L_t,1)$ terms. Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451): vol. 1 (11). Dagstuhl Seminar on Data Mining, Neworks and Dynamics. Schloss Dagstuhl, Wadern, Germany, 6-11 November 2011, 23-38.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Optimization-based algorithms for the rank-$(L_t,L_t,1)$ Block Term Decomposition and related decompositions. International Linear Algebra Society. Braunschweig, Germany, 22-26 August 2011.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Tensor decompositions by unconstrained optimization of real functions in complex variables. International conference on Matrix Methods in Mathematics and Applications. Moscow, Russia, 22-25 June 2011.
De Lathauwer, L., Van Barel, M. (2010). Unmixing of rational functions by tensor computations. TDA2010: Workshop on Tensor Decompositions and Applications. Monopoli, Bari, Italy, 13-17 September 2010.
Sorber, L., De Lathauwer, L. (2010). Algorithms for the rank-$(L_t,L_t,1)$ Block Term Decomposition. Tensor Decompositions and Applications. Monopoli, Italy, 13-17 September 2010.
De Lathauwer, L., Van Barel, M. (2010). Unmixing of rational functions by tensor computations. Conference of the International Linear Algebra Society. Pisa, Italy, 21-25 June 2010.
Vanaverbeke, S., De Lathauwer, L., De Gersem, H., Van Den Abeele, K. (2008). Separation of multiple scatterers in NEWS-TR experiments. Acoustics '08. Paris, 30 June - 2 July 2008.
De Vos, M., Vanderperren, K., Vanrumste, B., De Lathauwer, L., Van Huffel, S. (2007). Multiway methods and their use in neuroscience. Abstracts of the 1st COST Neuromath Workgroups Meeting. COST Neuromath Workgroups Meeting. Rome, Italy, 2-3 December 2007, 108-108.
De Vos, M., Vergult, A., De Lathauwer, L., De Clercq, W., Van Huffel, S., Dupont, P., Palmini, A., Van Paesschen, W. (2006). Canonical decomposition of ictal EEG reliably detects the seizure onset zone. Epilepsia: vol. 47, 38-38.
De Lathauwer, L., de Baynast, A., Vandewalle, J., De Moor, B. (2003). New Algebraic Techniques for the Separation of DS-CDMA signals. Proc. 24th symposium on Information Theory in the Benelux. symposium on Information Theory in the Benelux. Veldhoven, The Netherlands, May 2003, 211-218.
De Lathauwer, L., Vandewalle, J., De Moor, B. (2003). An algebraic Technique for blind MIMO Deconvolution of Constant Modulus Signals. Proc. of the 24th Symposium on Information Theory in the Benelux. 24th Symposium on Information Theory in the Benelux. Veldhoven, The Netherlands, May 2003, 203-209.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2002). An Algebraic Algorithm for Blind Identification with more Inputs than Outputs. Proc. 23rd Symposium on Information theory in the Benelux. 23rd Symposium on Information theory in the Benelux. Louvain-La-Neuve, Belgium, May 2002, 241-246.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2002). An algorithm for joint diagnolization by a congruence transformation. Proc. 23rd symp. Information Theory in the Benelux. Proc. 23rd symp. Information Theory in the Benelux. Louvain-la-Neuve, Belgium, May 2002, 235-240.
De Lathauwer, L., Fevotte, C., De Moor, B., Vandewalle, J. (2002). Jacobi Algorithm for Joint Block Diagonalization in Blind Idenfitication. Proc. 23rd symp. Information Theory in the Benelux. Proc. 23rd symp. Information Theory in the Benelux. Louvain-la-Neuve, Belgium, May 2002, 155-162.
de Baynast, A., Fijalkow, I., De Lathauwer, L. (2001). Egalisation aveugle multi-utilisateurs de Signaux DS-CDMA avec sequence d'embrouillage. Proc. 18éme colloque GRETSI sur le Traitement du Signal et des Images (GRETSI'01). 18éme colloque GRETSI sur le Traitement du Signal et des Images (GRETSI'01). Toulouse, France, Dec. 2001, 27-30.
De Lathauwer, L., De Moor, B., Vandewalle, J. (1993). A singular value decomposition for higher-order tensors. Proc. of the ProRISC/IEEE Workshop on Circuits, Systems and Signal-Processing. ProRISC/IEEE Workshop on Circuits, Systems and Signal-Processing. Houthalen, Belgium, Mar. 1993, 37-43.
Sorber, L., Van Barel, M., De Lathauwer, L. (2012). Efficient algorithms for tensor decompositions. OPTEC MANET Workshop on Tensors and Large Scale Optimization. Leuven, 7 February 2012.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Block Component Analysis. Book of abstracts DYSCO Study Day. IAP VI/4 DYSCO Study day. Leuven, 29 November 2011, 21-21.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Block Component Analysis. OPTEC Steering Advisory Board meeting. Leuven, 24 October 2011.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Unconstrained optimization of real functions in complex variables. SISTA Seminar. Leuven, 20 April 2011.
Sorber, L., De Lathauwer, L. (2010). Algorithms for the rank-$(L_t,L_t,1)$ Block Term Decomposition. Book of abstracts DYSCO Study Day. IAP VI/4 DYSCO Study day. Château-Ferme de Profondval, 28-29 October 2010, 21-21.
Signoretto, M., Suykens, J. (sup.), De Lathauwer, L. (sup.), Vandewalle, J. (sup.) (2011). Kernels and Tensors for Structured Data Modelling (Kernels en tensoren voor het modelleren van gestructureerde data), 242 pp.
Lakhal, L., De Lathauwer, L. (sup.), Birlouez, I. (sup.) (2011). Approche Monte Carlo Combinée à la Méthode PARAFAC pour l'Extraction des Sources de Fluorescence danls les Milieux Turbides.
Sorensen, M., De Lathauwer, L. (sup.), Deneire, L. (sup.) (2010). Tensors tools with applications in signal processing.
De Vos, M., Van Huffel, S. (sup.), De Lathauwer, L. (sup.), Van Paesschen, W. (sup.) (2009). Decomposition Methods With Applications in Neuroscience (Decompositietechnieken met toepassingen in de neurowetenschappen).
Ishteva, M., Van Huffel, S. (sup.), De Lathauwer, L. (sup.) (2009). Numerical Methods for the Best Low Multilinear Rank Approximation of Higher-Order Tensors (Numerieke methoden voor de beste lage multilineaire rang benadering van hogere-orde tensoren).
Nion, D., De Lathauwer, L. (sup.), Fijalkov, I. (sup.) (2007). Generalized PARAFAC methods for blind source extraction. Application in DS-CDMA.
Castaing, J., De Lathauwer, L. (sup.), Fijalkow, I. (sup.) (2006). PARAFAC methods for signal separation.
Laudadio, T., Van Huffel, S. (sup.), De Lathauwer, L. (sup.), De Lathauwer, L. (cosup.) (2005). Subspace-Based Quantification of Magnetic Resonance Spectroscopy Data Using Biochemical Prior Knowledge (Deelruimte gebaseerde kwantificatie van Magnetische Resonantie Signalen met inbreng van biochemische voorkennis).
Papy, J., Van Huffel, S. (sup.), De Lathauwer, L. (sup.), Wevers, M. (cosup.) (2005). Subspace-Based Exponential Data Fitting Using Linear and Multilinear Algebra, 165 pp.
de Baynast, A., De Lathauwer, L. (sup.), Declercq, D. (sup.), Fijalkow, I. (sup.) (2002). Détection autodidacte pour des systèmes de communications numériques a accès multiple.
De Lathauwer, L. (1997). Signal Processing based on Multilinear Algebra.
Sorber, L., Van Barel, M., De Lathauwer, L. (2012). Optimization-based algorithms for tensor decompositions: canonical polyadic decomposition, decomposition in rank-$(L_r,L_r,1)$ terms and a new generalization. ESAT-SISTA Internal Reports, 12-37. Leuven, Belgium: Department of Electrical Engineering (ESAT), KU Leuven.
Sorber, L., Van Barel, M., De Lathauwer, L. (2011). Unconstrained optimization of real functions in complex variables. TW Reports, TW592. Leuven, Belgium: Department of Computer Science, K.U.Leuven.
De Lathauwer, L. (2005). On avoiding diverging components in the computation of the best low rank approximation of higher-order tensors.
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). An algebraic approach to the blind identification of paraunitary filters. ESAT-SISTA. Internal report, 00-67: KULeuven. Departement electrotechniek, Leuven, 2000..
De Lathauwer, L., De Moor, B., Vandewalle, J. (2000). Orthogonal Super-symmetric Tensor Decompositions and Independent Component Analysis. Technical report No. 99-27, 38 pp. Leuven: ESAT/SISTA K.U.Leuven.
Two OPTEC professors have been awarded three "Gouden Krijtjes", the yearly teaching awards given by the organization of engineering students (vtk). Prof. Lombaert was awarded the prize for the best course in civil engineering, and Prof. Diehl the prizes for the best professor and the best course in mathematical engineering (where he teaches numerical optimization). They received these awards at the yearly "proffentap" where experienced students taught them how to draft beer professionally.
