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Structured sparsity-inducing norms : statistical and algorithmic properties w...
Numerous fields of applied sciences and industries have been recently witnessing a process of digitisation. This trend has come with an increase in the amount digital... -
PAC-Bayesian Majority Vote for Late Classifier Fusion
7 pages, Research report -
YAM++ : (not) Yet Another Matcher for Ontology Matching Task
International audience -
Machine Learning for Emergent Middleware
International audience -
Evaluating the Interaction between the different Matchers (or Strategies) in ...
International audience -
A Lattice of Sets of Alignments Built on the Common Subword in a Finite Language
International audience -
3D Facial Expressions Recognition Using Shape Analysis and Machine Learning
Facial expression recognition is a challenging task, which has received growing interest within the research community, impacting important applications in fields... -
3D facial Biometric Using Geometric Characteristics and Machine Learning : Ap...
Since facial biometric recognition is contactless, non-intrusive, and somehow natural (i.e more accepted by end-users), it emerges as one attractive way to achieve... -
On spatial selectivity and prediction across conditions with fMRI
International audience -
Preprocessing for classification of sparse data: application to trajectory re...
International audience -
Local Substitutability for Sequence Generalization
International audience -
Decoding Visual Percepts Induced by Word Reading with fMRI
International audience -
From Neuronal cost-based metrics towards sparse coded signals classification
International audience -
Finding precise answers to medical questions : the question-answering system ...
With the dramatic growth of digital information, finding precise answers to natural language questions is more and more essential for retrieving domain knowledge in... -
Improving accuracy and power with transfer learning using a meta-analytic dat...
International audience -
Developing fast machine learning techniques with applications to steganalysis...
Developing Fast Machine Learning Techniques with Applications to Steganalysis Problems, Dissertation for the obtention of the degree of Doctor of Science (D.Sc.) in Technology... -
Multi-task Regression using Minimal Penalties
International audience -
Distributed Learning in Hierarchical Networks
International audience -
Modéliser l'utilisateur pour la diffusion de l'information dans les réseaux s...
Numéro spécial sur "Systèmes d'information : impact des réseaux sociaux" -
Optimal Computational Trade-Off of Inexact Proximal Methods
In this paper, we investigate the trade-off between convergence rate and computational cost when minimizing a composite functional with proximal-gradient methods,...
