Loukianos Spyrou

2 accepted papers

2017

Graph regularised tensor factorisation of EEG signals based on network connectivity measures

ICASSP 2017accepted

Tensor factorisation is a decomposition method for high dimensional data that is used to estimate the prominent factors in some signal. Recently it has been employed with success in the biomedical fields. Regularised tensor factorisation attempts to alleviate overfitting and small sample size estima…

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2016

Coupled dictionary learning for multimodal data: An application to concurrent intracranial and scalp EEG

Loukianos Spyrou, Saeid Sanei

ICASSP 2016accepted

This paper focuses on learning a coupled dictionary between multimodal datasets where the data of different modes can be described as a function of each other. Our method is able to reconstruct the data of one mode by using the data of another mode. This provides the advantage on applications that l…

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