no code implementations • ICCV 2023 • Perrine Chassat, Juhyun Park, Nicolas Brunel
Geometric frameworks for analyzing curves are common in applications as they focus on invariant features and provide visually satisfying solutions to standard problems such as computing invariant distances, averaging curves, or registering curves.
no code implementations • 11 Dec 2020 • Juhyun Park, Jeongyoun Ahn, Yongho Jeon
Inspired by the success of $\ell_1$-type regularization at inducing zero coefficients for scalar variables, we develop a new regularization method for functional linear discriminant analysis that incorporates an $L^1$-type penalty, $\int |f|$, to induce zero regions.
Methodology
no code implementations • 1 Jan 2019 • Bashar Alhafni, Saulo Fernando Guedes, Lays Cavalcante Ribeiro, Juhyun Park, Jeongkyu Lee
The goal of this paper is to implement a system, titled as Drone Map Creator (DMC) using Computer Vision techniques.
no code implementations • CVPR 2018 • Kwang In Kim, Juhyun Park, James Tompkin
When learning functions on manifolds, we can improve performance by regularizing with respect to the intrinsic manifold geometry rather than the ambient space.