Concept
Convex hull algorithms
Related publications (47)
T-5 configurations and hyperbolic systems
Carl Johan Peter Johansson, Riccardo Tione
In this paper, we study the rank-one convex hull of a differential inclusion associated to entropy solutions of a hyperbolic system of conservation laws. This was introduced in [B. Kirchheim, S. Muller and V. S(sic)ver & aacute;k, Studying Nonlinear PDE by ...
WORLD SCIENTIFIC PUBL CO PTE LTD2023Reactive Navigation in Crowds for Non-holonomic Robots with Convex Bounding Shape
Aude Billard, Diego Felipe Paez Granados, David Julian Gonon
This paper describes a novel method for non-holonomic robots of convex shape to avoid imminent collisions with moving obstacles. The method's purpose is to assist navigation in crowds by correcting steering from the robot's path planner or driver. We evalu ...
2021Characterising Structure and Stability of Materials using Machine Learning
The search of novel materials using in-silico high-throughput screening is emerging as a fundamental step in the pipeline of materials discovery, but its low yields in terms of synthesisable structures limit its effectiveness. In order to isolate configura ...
EPFL2020Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
We propose a class of novel variance-reduced stochastic conditional gradient methods. By adopting the recent stochastic path-integrated differential estimator technique (SPIDER) of Fang et al. (2018) for the classical Frank-Wolfe (FW) method, we introduce ...
2019An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis
Maryam Kamgarpour, Luca Furieri
This letter proposes a novel input-output parametrization of the set of internally stabilizing output-feedback controllers for linear time invariant (LTI) systems. Our underlying idea is to directly treat the closed-loop transfer matrices from disturbances ...
2019Solving Continuous-Domain Problems Exactly with Multiresolution B-Splines
Michaël Unser, Julien René Pierre Fageot, Harshit Gupta, Thomas Jean Debarre
We propose a discretization method for continuous-domain linear inverse problems with multiple-order total-variation (TV) regularization. It is based on a recent result that proves that such inverse problems have sparse polynomial-spline solutions. Our met ...
IEEE2019Deep Feature Factorization For Content-Based Image Retrieval And Localization
State of the art content-based image retrieval algorithms owe their excellent performance to the rich semantics encoded in the deep activations of a convolutional neural network. The difference between these algorithms lies mostly in how activations are co ...
IEEE2019