J
Jérémie Jakubowicz
Researcher at Télécom ParisTech
Publications - 31
Citations - 3131
Jérémie Jakubowicz is an academic researcher from Télécom ParisTech. The author has contributed to research in topics: Wireless sensor network & Convergence (routing). The author has an hindex of 12, co-authored 31 publications receiving 2601 citations. Previous affiliations of Jérémie Jakubowicz include École normale supérieure de Cachan & Institut Mines-Télécom.
Papers
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Journal ArticleDOI
LSD: A Fast Line Segment Detector with a False Detection Control
TL;DR: A linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning is proposed.
Journal ArticleDOI
LSD: a Line Segment Detector
TL;DR: LSD is a linear-time Line Segment Detector giving subpixel accurate results and uses an a contrario validation approach according to Desolneux, Moisan, and Morel’s theory.
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Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization
TL;DR: In this article, the convergence analysis of a class of distributed constrained non-convex optimization algorithms in multi-agent systems is studied and it is proved that consensus is asymptotically achieved in the network and that the algorithm converges to the set of Karush-Kuhn-Tucker points.
Proceedings ArticleDOI
Dynamic cluster-based over-demand prediction in bike sharing systems
Longbiao Chen,Daqing Zhang,Leye Wang,Dingqi Yang,Xiaojuan Ma,Shijian Li,Zhaohui Wu,Gang Pan,Thi-Mai-Trang Nguyen,Jérémie Jakubowicz +9 more
TL;DR: A dynamic cluster-based framework that dynamically group neighboring stations with similar bike usage patterns into clusters and adopts Monte Carlo simulation to predict the over-demand probability of each cluster is proposed.
Journal ArticleDOI
On Straight Line Segment Detection
TL;DR: A comprehensive method for detecting straight line segments in any digital image, accurately controlling both false positive and false negative detections is proposed, based on Helmholtz principle.