ZHOU , Yuxiang

This paper deals with supervised classification and feature selection. A classical approach is to project data on a low dimensional space with a strict control on sparsity. This results in an optimization problem minimizing the within sum of squares in the clusters (Frobenius norm) with an 1 penalty in order to promote sparsity. It is well...

Optimal habitat selection is essential for species survival in ecosystems, and interspecific competition is a key ecological mechanism for many observed species association patterns. Specialized animal species are commonly affected by resource and interference competition with generalist and/or omnivorous competitors, so avoidance behavior...

This interdisciplinary work focuses on the interest of a new proximal algorithm (ADRS) for supervised classification of live cell populations growing in a thermostated imaging station and acquired by a Quantitative Phase Imaging (QP I) camera. This type of camera produces interferograms that have to be processed in order to extract features...