Steven Van Vaerenbergh

Journal Articles
2014
M. Lázaro-Gredilla, and S. Van Vaerenbergh, "A Gaussian Process Model for Data Association and a Semi-Definite Programming Solution", IEEE Transactions on Neural Networks and Learning Systems, vol. 25, issue 11, pp. 1967-1979, November, 2014. PDF icon PDF Version (394.75 KB)
J. Manco-Vásquez, S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Kernel Canonical Correlation Analysis for Robust Cooperative Spectrum Sensing in Cognitive Radio Networks", Transactions on Emerging Telecommunications Technologies, 2014. PDF icon PDF Version (364.57 KB)
2012
S. Van Vaerenbergh, M. Lázaro-Gredilla, and I. Santamaría, "Kernel Recursive Least-Squares Tracker for Time-Varying Regression", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, issue 8, pp. 1313--1326, August, 2012. PDF icon PDF Version (861.59 KB)
M. Lázaro-Gredilla, S. Van Vaerenbergh, and N. D. Lawrence, "Overlapping Mixtures of Gaussian Processes for the Data Association Problem", Pattern Recognition, vol. 45, no. 4, pp. 1386–1395, April, 2012. PDF icon PDF Version (1.03 MB)
Conference Papers
2016
S. Van Vaerenbergh, D. Comminiello, and L. A. Azpicueta-Ruiz, "A Split Kernel Adaptive Filtering Architecture for Nonlinear Acoustic Echo Cancellation", 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, September, 2016. PDF icon PDF Version (374.7 KB)
S. Van Vaerenbergh, J. Fernández-Bes, and V. Elvira, "On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares Algorithms", 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerno, Italy, IEEE, September, 2016. PDF icon PDF Version (175.24 KB)
2015
J. Fernández-Bes, V. Elvira, and S. Van Vaerenbergh, "A Probabilistic Least-Mean-Squares Filter", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April, 2015. PDF icon PDF Version (375.31 KB)
2014
J. Manco-Vásquez, S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Experimental Evaluation of a Cooperative Kernel-Based Approach for Robust Spectrum Sensing", 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruña, Spain, June, 2014. PDF icon PDF Version (393.28 KB)
S. Van Vaerenbergh, Ó. González, J. Vía, and I. Santamaría, "Physical Layer Authentication based on Channel Response Tracking using Gaussian Processes", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2429--2433, May, 2014. PDF icon PDF Version (376.13 KB)
I M. Park, S. Seth, and S. Van Vaerenbergh, "Probabilistic Kernel Least Mean Squares Algorithms", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2014. PDF icon PDF Version (383.6 KB)
S. Van Vaerenbergh, and L. A. Azpicueta-Ruiz, "Kernel-Based Identification of Hammerstein Systems for Nonlinear Acoustic Echo-Cancellation", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2014. PDF icon PDF Version (278.33 KB)
2013
S. Van Vaerenbergh, and I. Santamaría, "A Comparative Study of Kernel Adaptive Filtering Algorithms", 2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE): IEEE, August, 2013. PDF icon PDF Version (121.63 KB)
S. Van Vaerenbergh, and I. Santamaría, "Kernel Adaptive Filtering: Which Technique to Choose in Practice", International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013), pp. 101--102, July, 2013.
S. Van Vaerenbergh, J. Vía, J. Manco-Vásquez, and I. Santamaría, "Adaptive Kernel Canonical Correlation Analysis Algorithms for Maximum and Minimum Variance", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May, 2013. PDF icon PDF Version (90.87 KB)
2012
S. Van Vaerenbergh, I. Santamaría, and M. Lázaro-Gredilla, "Estimation of the Forgetting Factor in Kernel Recursive Least Squares", 2012 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), September, 2012. PDF icon PDF Version (241.23 KB)
2011
M. Lázaro-Gredilla, S. Van Vaerenbergh, and 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 icon PDF Version (238.14 KB)
S. Van Vaerenbergh, I. Santamaría, and 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 icon PDF Version (319.53 KB)
2010
S. Van Vaerenbergh, I. Santamaría, W. Liu, and J. C. Príncipe, "Fixed-Budget Kernel Recursive Least-Squares", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, March, 2010. PDF icon PDF Version (235.93 KB)
2009
S. Van Vaerenbergh, I. Santamaría, P E. Barbano, U. Ozertem, and 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 icon PDF Version (286.89 KB)
2008
S. Van Vaerenbergh, J. Vía, and 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 icon PDF Version (136.65 KB)
2007
S. Van Vaerenbergh, E. Estébanez, and 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 icon PDF Version (175.3 KB)
2006
S. Van Vaerenbergh, J. Vía, and 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 icon PDF Version (322.74 KB)
S. Van Vaerenbergh, J. Vía, and I. Santamaría, "A Sliding-Window Kernel RLS Algorithm and its Application to Nonlinear Channel Identification", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, France, May, 2006. PDF icon PDF Version (186.03 KB)
Book Chapters
S. Van Vaerenbergh, and I. Santamaría, "Online Regression with Kernels", Regularization, Optimization, Kernels, and Support Vector Machines, no. Machine Learning & Pattern Recognition Series, New York, Chapman and Hall/CRC, pp. 477-501, 2014. PDF icon PDF Version (298.16 KB)
S. Van Vaerenbergh, and 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.), The Netherlands, Shaker Publishing, 2008. PDF icon PDF Version (2.88 MB)

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