226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR37 papers
- Université de LilleFR33 papers
- Centre National de la Recherche ScientifiqueFR26 papers
- Centre de Recherche en InformatiqueFR16 papers
- École Centrale de LilleFR13 papers
- Télécom LilleFR10 papers
- Institut Mines-TélécomFR8 papers
- Universidad Carlos III de MadridES5 papers
- University of FlorenceIT5 papers
- Stony Brook UniversityUS4 papers
- Universidad Rey Juan CarlosES4 papers
- Universitat de ValènciaES4 papers
5 papers · 1 filter
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding
Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor +2
In this paper, we propose a novel space-time geometric representation of human landmark configurations and derive tools for comparison and classification. We model the temporal evo…
Robust Covariance Adaptation in Adaptive Importance Sampling
Yousef El-Laham, Victor Elvira, Monica F. Bugallo
Importance sampling (IS) is a Monte Carlo methodology that allows for approximation of a target distribution using weighted samples generated from another proposal distribution. Ad…
Deep Covariance Descriptors for Facial Expression Recognition
Naima Otberdout, Anis Kacem, Mohamed Daoudi +2
In this paper, covariance matrices are exploited to encode the deep convolutional neural networks (DCNN) features for facial expression recognition. The space geometry of the covar…
Accelerating MCMC Algorithms
Christian P. Robert, Victor Elvira, Nick Tawn +1
Markov chain Monte Carlo algorithms are used to simulate from complex statistical distributions by way of a local exploration of these distributions. This local feature avoids heav…
Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks with Stochastic Energy Harvesting
Pengfei Zhang, Ido Nevat, Gareth W. Peters +2
We address the two fundamental problems of spatial field reconstruction and sensor selection in het- erogeneous sensor networks. We consider the case where two types of sensors are…