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Multivariate Convolutional Sparse Coding with Low Rank Tensor

Archive ouverte | Humbert, Pierre | CCSD

This paper introduces a new multivariate convolutional sparse coding based on tensor algebra with a general model enforcing both element-wise sparsity and low-rankness of the activations tensors. By using the CP decomposition, thi...

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis

Archive ouverte | Humbert, Pierre | CCSD

Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during General Anesthesia (GA). Indeed, it has been shown t...

An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins

Archive ouverte | Vidal, Pierre‐paul | CCSD

International audience. The increasing number of frail elderly people in our aging society is becoming problematic: about 11% of community-dwelling older persons are frail and another 42% are pre-frail. Consequently...

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