709 citations
- Centre National de la Recherche ScientifiqueFR137 papers
- Université Toulouse III - Paul SabatierFR132 papers
- Université de ToulouseFR103 papers
- Institut de Recherche en Informatique de ToulouseFR101 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR65 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR61 papers
- Université Toulouse - Jean JaurèsFR44 papers
- Institut Polytechnique de BordeauxFR43 papers
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- Laboratoire Plasma et Conversion d'EnergieFR42 papers
- Data Management (Italy)IT24 papers
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10 papers · 1 filter
HLoOP -- Hyperbolic 2-space Local Outlier Probabilities
Clémence Allietta, Jean-Philippe Condomines, Jean-Yves Tourneret +1
Hyperbolic geometry has recently garnered considerable attention in machine learning due to its capacity to embed hierarchical graph structures with low distortions for further dow…
Hotelling Deflation on Large Symmetric Spiked Tensors
Mohamed El Amine Seddik, José Henrique de Morais Goulart, Maxime Guillaud
This paper studies the deflation algorithm when applied to estimate a low-rank symmetric spike contained in a large tensor corrupted by additive Gaussian noise. Specifically, we pr…
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data
Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal +1
This paper tackles the problem of missing data imputation for noisy and non-Gaussian data. A classical imputation method, the Expectation Maximization (EM) algorithm for Gaussian m…
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for multispectral images and acquisition problems. This can be a critical issue for crop monitor…
Set-valued classification -- overview via a unified framework
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +1
Multi-class classification problem is among the most popular and well-studied statistical frameworks. Modern multi-class datasets can be extremely ambiguous and single-output predi…
A decision-making tool to fine-tune abnormal levels in the complete blood count tests
Marta Avalos-Fernandez, Helene Touchais, Marcela Henriquez-Henriquez
The complete blood count (CBC) performed by automated hematology analyzers is one of the most ordered laboratory tests. It is a first-line tool for assessing a patient's general he…