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Génération de Matrices de Corrélation avec des Structures de Graphe par Optimisation Convexe
Ce travail porte sur la génération de matrices de corrélation théoriques présentant des motifs de parcimonie spécifiques, associés à …
Ali Fakhar, Kevin Polisano, Irène Gannaz, Sophie Achard
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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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Novel Instantaneous Frequency Estimator in Multicomponent Signals with Interfering or Crossing Modes
In this paper, we introduce a novel estimator for the instantaneous frequencies of the modes making up multicomponent signals, …
Sylvain Meignen, Kevin Polisano
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Instantaneous Frequency Estimation in Multicomponent Signals in Case of Interference Based on the Prony Method
In this paper, we develop a general method to estimate the instantaneous frequencies of the modes making up a multicomponent signal …
Basile Dubois-Bonnaire, Sylvain Meignen, 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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