Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging

Yusuf Pilavci; Nicolas Farrugia

doi:10.1109/ICASSP.2019.8683901

Conference papers

Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging

Yusuf Pilavci ^{1, 2, 3} Nicolas Farrugia ^{1, 2}

1 Lab-STICC_IMTA_CACS_IAS

Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance

2 IMT Atlantique - ELEC - Département Electronique

3 POLIMI - Politecnico di Milano [Milan]

Keywords : graph signal processing wavelets neuroimaging regression

Document type :

Conference papers

Domain :

Cognitive science / Neuroscience

Computer Science [cs] / Computer Vision and Pattern Recognition [cs.CV]

Computer Science [cs] / Artificial Intelligence [cs.AI]

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Cited literature [20 references] Display Hide Download

https://hal-imt-atlantique.archives-ouvertes.fr/hal-02052244
Contributor : Nicolas Farrugia <>
Submitted on : Thursday, October 10, 2019 - 3:22:12 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:47 PM

Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging

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Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging

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