Steven Van Vaerenbergh's Publications
| other publications | journal publications | international conferences|
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All BibTeX entries of journals and international conferences 
BibTeX
Books and book chapters
S. Van Vaerenbergh y I. Santamaría, “A Spectral Clustering Approach for Blind Decoding of MIMO Transmissions over Time-Correlated Fading Channels”, Intelligent Systems: Techniques and Applications, Evor Hines et. al (Eds.), Shaker Publishing, The Netherlands, 2008.
Ph.D. Dissertation
Steven Van Vaerenbergh, "Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals", University of Cantabria, 2010
PDF versionJournal publications
[ 2012,2008,2007,2006 ]2012
Miguel Lázaro-Gredilla, S. Van Vaerenbergh and N. Lawrence, "Overlapping Mixtures of Gaussian Processes for the Data Association Problem", Pattern Recognition, vol.45, no.4, pp.1386–1395, April 2012 
Pdf version BibTeX
2008
S. Van Vaerenbergh, J. Vía and I. Santamaría, "Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems", EURASIP Journal on Advances in Signal Processing, April 2008 Pdf version BibTeX
2007
S. Van Vaerenbergh, J. Vía and I. Santamaría, "Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm", Journal of Communications, vol.2, no.3, pp.1-8, May 2007 Pdf version BibTeX
2006
S. Van Vaerenbergh and I.Santamaría, "A spectral clustering approach to underdetermined post-nonlinear blind source separation of sparse sources", IEEE Transactions on Neural Networks, vol.17, no.3, pp.811-814, May 2006 Pdf version BibTeX
International conferences
[ 2011,2010,2009,2008,2007,2006 ]2011
M. Lázaro-Gredilla, S. Van Vaerenbergh y I. Santamaría, "A Bayesian Approach To Tracking With Kernel Recursive Least-Squares", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September 2011
Pdf version BibTeX
S. Van Vaerenbergh, I. Santamaría y P. E. Barbano, "Semi-Supervised Handwritten Digit Recognition Using Very Few Labeled Data", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Prague, Czech Republic, May 2011
Pdf version BibTeX
2010
S. Van Vaerenbergh, I. Santamaria, W. Liu y J. C. Principe, "Fixed-Budget Kernel Recursive Least-Squares", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, March 2010
Pdf version BibTeX
2009
S. Van Vaerenbergh, I. Santamaría, P.E. Barbano, U. Ozertem y D. Erdogmus, "Path-Based Spectral Clustering for Decoding Fast Time-Varying MIMO Channels", 2009 International Workshop on Machine Learning for Signal Processing (MLSP), Grenoble, France, September 2009
Pdf version BibTeX
2008
S. Van Vaerenbergh, J. Vía y I. Santamaría, "A kernel canonical correlation analysis algorithm for blind equalization of oversampled Wiener systems", IEEE International Workshop on Machine Learning for Signal Processing, Cancun, Mexico, October 2008
Pdf version BibTeX
2007
S. Van Vaerenbergh, E. Estébanez y I. Santamaría, "A Spectral Clustering Algorithm for Decoding Fast Time-Varying BPSK MIMO", 15th European Signal Processing Conference (EUSIPCO 2007), Poznan, Poland, September 2007
Pdf version BibTeX
2006
S. Van Vaerenbergh, J. Vía y I. Santamaría, "Online kernel canonical correlation analysis for supervised equalization of Wiener systems", IEEE International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada, July 2006
Pdf version BibTeX
S. Van Vaerenbergh, J. Vía y I. Santamaría, "A sliding-window kernel RLS algorithm and its application to nonlinear channel identification", IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2006), Toulouse, France, May 2006
Pdf version BibTeX
