209 citations
- Université de Rouen NormandieFR13 papers
- Laboratoire d'Informatique Gaspard-MongeFR5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Centre Inria de l'Université de LilleFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Laboratoire de Mathématiques d'OrsayFR3 papers
- Université Le Havre NormandieFR3 papers
- Université Paris-SudFR3 papers
- Identités et Différenciation de l'Environnement des Espaces et des SociétésFR2 papers
- Institut National des Sciences Appliquées Rouen NormandieFR2 papers
- Laboratoire d'Automatique, Génie Informatique et SignalFR2 papers
- Laboratoire d'Informatique de Paris-NordFR2 papers
6 papers · 1 filter
Functional Regularized Least Squares Classi cation with Operator-valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux +2
Although operator-valued kernels have recently received increasing interest in various machine learning and functional data analysis problems such as multi-task learning or functio…
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
It has previously been hypothesized, and supported with some experimental evidence, that deeper representations, when well trained, tend to do a better job at disentangling the und…
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds
Florian Yger, Maxime Berar, Gilles Gasso +1
In this paper, we formulate the Canonical Correlation Analysis (CCA) problem on matrix manifolds. This framework provides a natural way for dealing with matrix constraints and tool…
Craniofacial reconstruction as a prediction problem using a Latent Root Regression model
Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès +1
In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains…
Handling uncertainties in SVM classification
Emilie Niaf, Rémi Flamary, Carole Lartizien +1
This paper addresses the pattern classification problem arising when available target data include some uncertainty information. Target data considered here is either qualitative (…
Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux
Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy
We address in this paper the problem of multi-channel signal sequence labeling. In particular, we consider the problem where the signals are contaminated by noise or may present so…