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Séminaire du département Images et Signal du 18/12/2018 à 14h00


Non-local space-frequency approach to convolutional filtering and learning

Intervenant : Mikhail TSITSVERO,

Lieu : Salle Chartreuse


Résumé : Nowadays local wavelet-based approach found its place in many applications in learning. We are going to emphasize the information theoretic limitations of wavelets for analysis of convolutional systems. Then we propose a possible nonlocal alternative that could bring us better understanding of space-frequency filtering to potentially better explain the behavior of convolutional neural networks. Finally we will emphasize the strong connection and synergy of approaches between signal processing and quantum mechanics.

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