Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
The Simultaneous Localisation And Mapping (SLAM) for a camera moving in a scene is a long term research problem. Here we improve a recent visual SLAM which applies Local Bundle Ad...
Alexandre Eudes, Maxime Lhuillier, Sylvie Naudet-C...
Motion blur due to camera shake is a annoying problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and ...
Evolutionary trees of species can be reconstructed by pairwise comparison of their entire genomes. Such a comparison can be quantified by determining the number of events that ch...