Deep Learning

Disentangling Modes and Interference in the Spectrogram of Multicomponent Signals
In this paper, we investigate how the spectrogram of multicomponent signals can be decomposed into a mode part and an interference …
Kevin Polisano, Sylvain Meignen, Nils Laurent, Hubert Leterme
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Manifold Learning for Hyperspectral Images
Traditional feature extraction and projection techniques, such as Principal Component Analysis, struggle to adequately represent X-Ray …
Fethi Harkat, Tiphaine Deuberet, Guillaume Gey, Valérie Perrier, Kevin Polisano
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On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
This paper focuses on improving the mathematical interpretability of convolutional neural networks (CNNs) in the context of image …
Hubert Leterme, Kevin Polisano, Valérie Perrier, Karteek Alahari
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