PCA-ICA-PFA - combinatie van principale componenten analyse, onafhankelijke componentenanalyse en parallelle factor analyse
From 01-10-2008 to 31-03-2013
Description
The goal of this project is to combine the analysis techniques mentioned above. Let us illustratethe principle by means of an example. In DS-CDMA telecommunication systems, the signals ofthe different users can be separated by means of CPA [44]. Here one does not impose orthogonalityconstraints on the CP decomposition. Nevertheless it is straightforward to assume that thesignals of the different users are uncorrelated. This hypothesis can be incorporated by imposingorthogonality in one “mode” of the CP decomposition. Although, strictly speaking, this extraconstraint is not necessary for the uniqueness of the result, it will probably lead to a higher accuracyand a greater stability of the solution. One can go one step further and claim that the signalsof the different users are statistically independent, like in ICA. One then imposes statistical independence,instead of orthogonality, in one mode of the CP decomposition. The same principleapplies in many cases to the separation of biomedical signals (e.g. EEG, epilepsy). Recently,CPA has been used as a way to drastically increase the speed of high-dimensional computations[9, 10, 27, 32]. Here, orthogonality in one or several modes could be desirable from a numericalpoint of view.Team
- Lieven De Lathauwer, Promoter
- Sabine Van Huffel, Team member
Financing
Funding: KU Leuven - Internal Funding KU Leuven
Program/Grant Type: BOF STRT - KUL Starting Grant
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.