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Luc Hoegaerts

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2000 – 2009

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2007
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  - journals/nn/HoegaertsLGSVM07
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Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Efficiently updating and tracking the dominant kernel principal components. Neural Networks 20(2): 220-229 (2007)
2005
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Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Subset based least squares subspace regression in RKHS. Neurocomputing 63: 293-323 (2005)
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  - conf/cdc/GoethalsPHSM05
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Ivan Goethals, Kristiaan Pelckmans, Luc Hoegaerts, Johan A. K. Suykens, Bart De Moor:
Subspace intersection identification of Hammerstein-Wiener systems. CDC/ECC 2005: 7108-7113
2004
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  - conf/ica/LathauwerHV04
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Lieven De Lathauwer, Luc Hoegaerts, Joos Vandewalle:
A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA. ICA 2004: 335-342
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Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. ICONIP 2004: 1247-1253
2003
[c1]
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Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Kernel PLS variants for regression. ESANN 2003: 200-208

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