3 papers
cs.LG2020
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Pierre Humbert, Laurent Oudre, Nivolas Vayatis +1
Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during Ge…
cs.CL2019
Fusing Vector Space Models for Domain-Specific Applications
Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux
We address the problem of tuning word embeddings for specific use cases and domains. We propose a new method that automatically combines multiple domain-specific embeddings, select…
stat.ML2019
Multivariate Convolutional Sparse Coding with Low Rank Tensor
Pierre Humbert, Julien Audiffren, Laurent Oudre +1
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 activ…