Steven Van Vaerenbergh
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Real name:
Research interests:
Last updated: October 2018.
- Machine learning and kernel methods
- Pattern recognition in time series
- Adaptive filtering and target tracking
- System identification and blind source separation
Downloads
- Split Kernel Adaptive Filter: Matlab source code.
- On the relationship between Online Gaussian Process Regression and KLMS Algorithms: Matlab source code.
- Kernel Adaptive Filtering Toolbox for Matlab.
- Kernel-Based Identification of Hammerstein systems: Matlab source code.
- A Comparative Study of Kernel Adaptive Filtering Algorithms: Matlab source code.
- Kernel Methods Toolbox: Matlab toolbox.
- Alternating Kernel Canonical Correlation Analysis algorithm: Matlab source code.
- Estimation of the Forgetting Factor in Kernel Recursive Least Squares Matlab source code.
- Connected Image Transformations algorithm: Matlab source code.
- Kernel Recursive Least-Squares Tracker algorithm: Matlab source code.
- Overlapping Mixtures of Gaussian Processes for the data association problem: Matlab source code.
Biography:
Postdoctoral researcher
Doctor in Telecommunications (FPU, University of Cantabria, Spain, 2010)
Electrical Engineer (Telecommunications) (University of Ghent, Belgium, 2003)
Teaching:
- Aplicaciones de Procesado de Señal (Grado en Ingeniería de Tecnologías de Telecomunicación)
- Data Mining (Máster Universitario en Ciencia de Datos / Master in Data Science)
- Machine Learning II (Máster Universitario en Ciencia de Datos / Master in Data Science)
Selected publications:
Journal Article
2013
, "Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis", IEEE Transactions on Signal Processing, vol. 61, issue 9, pp. 2219-2230, May, 2013.
PDF Version (363.45 KB)
PDF Version (363.45 KB) , "Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances", IEEE Signal Processing Magazine, vol. 30, issue 4, pp. 40-50, July, 2013.
PDF Version (1.68 MB)
PDF Version (1.68 MB) 2012
, "Overlapping Mixtures of Gaussian Processes for the Data Association Problem", Pattern Recognition, vol. 45, no. 4, pp. 1386–1395, April, 2012.
PDF Version (1.03 MB)
PDF Version (1.03 MB) , "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 Version (861.59 KB)
PDF Version (861.59 KB) Conference Paper
2018
, "Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space", 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, IEEE, April, 2018.
PDF Version (262.96 KB)
PDF Version (262.96 KB) 2015
, "A Probabilistic Least-Mean-Squares Filter", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Queensland, Australia, April, 2015.
PDF Version (375.31 KB)
PDF Version (375.31 KB) 2013
, "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 Version (121.63 KB)
PDF Version (121.63 KB) 2012
, "Estimation of the Forgetting Factor in Kernel Recursive Least Squares", 2012 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), September, 2012.
PDF Version (241.23 KB)
PDF Version (241.23 KB) Book Chapter
2014
, "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 Version (298.16 KB)
PDF Version (298.16 KB)