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Publications

Affichage des publications 251 à 260 sur 315 au total

Modélisation et simulation

Exact Sampling of Determinantal Point Processes without Eigendecomposition

Determinantal point processes (DPPs) enable the modeling of repulsion: they provide diverse sets of points. The repulsion is encoded in a kernel K that can be seen as a matrix storing the similarity between points. The diversity comes from the fact…

Claire Launay, Bruno Galerne, Agnès Desolneux

Journal of Applied Probability -

Mathématiques

Redundancy in Gaussian random fields

In this paper, we introduce a notion of spatial redundancy in Gaussian random fields. This study is motivated by applications of the a contrario method in image processing. We define similarity functions on local windows in random fields over…

Valentin de Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire

ESAIM: Probability and Statistics -

Biomécanique

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Falling is the second most prevalent cause of accidental death in the world. Currently available clinical tests to assess balance in older people are insufficiently sensitive to screen for fall risk in this population. Laboratory tests that record…

Flavien Quijoux, Aliénor Vienne-Jumeau, François Bertin-Hugault, Philippe Zawieja, Pierre-Paul Vidal, Damien Ricard

Ageing Research Reviews - ARR -

Probabilités

Determinantal point processes for image processing

Determinantal point processes (DPPs) are probabilistic models of configurations that favour diversity or repulsion. They have recently gained influence in the machine learning community, mainly because of their ability to elegantly and efficiently…

Claire Launay, Agnès Desolneux, Bruno Galerne

SIAM Journal on Imaging Sciences -

Traitement des images

Depth Map Quality Evaluation for Photographic Applications

As depth imaging is integrated into more and more consumer devices, manufacturers have to tackle new challenges. Applications such as computational bokeh and augmented reality require dense and precisely segmented depth maps to achieve good results…

Eloi Zalczer, François-Xavier Thomas, Laurent Chanas, Gabriele Facciolo, Frédéric Guichard

Electronic Imaging -