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10 papers · 2 filters
Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon +1
We focus on the maximum regularization parameter for anisotropic total-variation denoising. It corresponds to the minimum value of the regularization parameter above which the solu…
One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault +1
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setti…
Gap Safe screening rules for sparsity enforcing penalties
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort +1
In high dimensional regression settings, sparsity enforcing penalties have proved useful to regularize the data-fitting term. A recently introduced technique called screening rules…
Decentralized Topic Modelling with Latent Dirichlet Allocation
Igor Colin, Christophe Dupuy
Privacy preserving networks can be modelled as decentralized networks (e.g., sensors, connected objects, smartphones), where communication between nodes of the network is not contr…
Anomaly Detection and Localisation using Mixed Graphical Models
Romain Laby, François Roueff, Alexandre Gramfort
We propose a method that performs anomaly detection and localisation within heterogeneous data using a pairwise undirected mixed graphical model. The data are a mixture of categori…
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?
Nicolas Goix
When sufficient labeled data are available, classical criteria based on Receiver Operating Characteristic (ROC) or Precision-Recall (PR) curves can be used to compare the performan…