Abstract
We propose a new algorithm to impose independence constraints in one mode of the CP model, and show with simulations that it outperforms the existing algorithm.
This research is funded by a PhD grant of the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen). Research supported by Research Council KUL: GOA-AMBioRICS, CoE EF/05/006 Optimization in Engineering, IDO 05/010 EEG-fMRI; Flemish Government: FWO: projects, G.0407.02 (support vector machines), G.0360.05 (EEG, Epileptic), G.0519.06 (Noninvasive brain oxygenation), FWO-G.0321.06 (Tensors/Spectral Analysis), G.0341.07 (Data fusion), research communities (ICCoS, ANMMM); IWT: PhD Grants; Belgian Federal Science Policy Office IUAP P6/04 (‘Dynamical systems, control and optimization’, 2007-2011); EU: BIOPATTERN (FP6-2002-IST 508803), ETUMOUR (FP6-2002-LIFESCIHEALTH 503094), Healthagents (IST-2004-27214), FAST (FP6-MC-RTN-035801); ESA: Cardiovascular Control (Prodex-8 C90242).
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De Vos, M., De Lathauwer, L., Van Huffel, S. (2007). Imposing Independence Constraints in the CP Model. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_5
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DOI: https://doi.org/10.1007/978-3-540-74494-8_5
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