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Lionel Jérémie Martin

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Related publications (4)

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Robust and Efficient Data Clustering with Signal Processing on Graphs

Lionel Jérémie Martin

Data is pervasive in today's world and has actually been for quite some time. With the increasing volume of data to process, there is a need for faster and at least as accurate techniques than what we already have. In particular, the last decade recorded t ...

EPFL2018

Prediction of Helpful Reviews using Emotions Extraction

Pearl Pu Faltings, Lionel Jérémie Martin

Reviews keep playing an increasingly important role in the decision process of buying products and booking hotels. However, the large amount of available information can be confusing to users. A more succinct interface, gathering only the most helpful revi ...

2014

Fast Approximate Spectral Clustering for Dynamic Networks

Pierre Vandergheynst, Andreas Loukas, Lionel Jérémie Martin

Spectral clustering is a widely studied problem, yet its complexity is prohibitive for dynamic graphs of even modest size. We claim that it is possible to get information from past cluster assignments to expedite computation. Our approach builds on a recen ...

2018

Fast Eigenspace Approximation using Random Signals

Lionel Jérémie Martin, Johann Paratte

We focus in this work on the estimation of the first k eigenvectors of any graph Laplacian using filtering of Gaussian random signals. We prove that we only need k such signals to be able to exactly recover as many of the smallest eigenvectors, regardless ...

2016