output
20122026
most citedAn Efficient Approach to Sparse Linear Discriminant Analysis

23 citations

5 papers

stat.AP2026

Embedding Birth-Death Processes within a Dynamic Stochastic Block Model

Gabriela Bayolo Soler, Miraine Dávila Felipe, Ghislaine Gayraud

Statistical clustering in dynamic networks aims to identify groups of nodes with similar or distinct internal connectivity patterns as the network evolves over time. While early re…

eess.AS2023★ 1 cited

Home monitoring for frailty detection through sound and speaker diarization analysis

Yannis Tevissen, Dan Istrate, Vincent Zalc +4

As the French, European and worldwide populations are aging, there is a strong interest for new systems that guarantee a reliable and privacy preserving home monitoring for frailty…

eess.SY2022

On a federated architecture for utilizing domain-specific descriptive models. (Poster)

Freddy Kamdem Simo, Dominique Ernadote, Dominique Lenne

In a Systems Engineering setting, various models are produced using a variety of methods and tools. Focusing on a type of models -- called descriptive models -- which we shall desc…

cs.CV2020★ 1 cited

Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning

Abdelhak Loukkal, Yves Grandvalet, Tom Drummond +1

Camera-based end-to-end driving neural networks bring the promise of a low-cost system that maps camera images to driving control commands. These networks are appealing because the…

cs.LG2012★ 23 cited

An Efficient Approach to Sparse Linear Discriminant Analysis

Luis Francisco Sanchez Merchante, Yves Grandvalet, Gerrad Govaert

We present a novel approach to the formulation and the resolution of sparse Linear Discriminant Analysis (LDA). Our proposal, is based on penalized Optimal Scoring. It has an exact…