Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Nguyễn Xuân Sơn"'
Autor:
Bùi Văn Ga, Hoàng Anh Tuấn, Lê Khắc Bình, Cao Xuân Tuấn, Võ Anh Vũ, Nguyễn Xuân Sơn, Võ Như Tùng
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 35-41 (2024)
Xử lý chất thải rắn thông qua viên nén nhiên liệu RDF cho phép thu hồi triệt để tài nguyên, nâng cao hiệu suất chuyển hóa năng lượng và giảm phát thải ô nhiễm môi trường. Mô phỏng quá trình cháy
Externí odkaz:
https://doaj.org/article/1269b8ca83ec4987941b6f4761163aea
Deep neural networks (DNNs) on Riemannian manifolds have garnered increasing interest in various applied areas. For instance, DNNs on spherical and hyperbolic manifolds have been designed to solve a wide range of computer vision and nature language p
Externí odkaz:
http://arxiv.org/abs/2405.19206
Autor:
Nguyen, Xuan Son, Yang, Shuo
Matrix manifolds, such as manifolds of Symmetric Positive Definite (SPD) matrices and Grassmann manifolds, appear in many applications. Recently, by applying the theory of gyrogroups and gyrovector spaces that is a powerful framework for studying hyp
Externí odkaz:
http://arxiv.org/abs/2305.04560
Autor:
Nguyen, Xuan Son
In this paper, we propose a novel method for representation and classification of two-person interactions from 3D skeleton sequences. The key idea of our approach is to use Gaussian distributions to capture statistics on R n and those on the space of
Externí odkaz:
http://arxiv.org/abs/2111.13089
This paper proposes a new neural network based on SPD manifold learning for skeleton-based hand gesture recognition. Given the stream of hand's joint positions, our approach combines two aggregation processes on respectively spatial and temporal doma
Externí odkaz:
http://arxiv.org/abs/1904.12970
Autor:
Võ Anh Vũ, Lê Khắc Bình, Nguyễn Võ Đạo, Huỳnh Bá Vang, Võ Như Tùng, Nguyễn Xuân Sơn, Nguyễn Tấn Minh
Publikováno v:
University of Danang - Journal of Science & Technology; 2024, Vol. 22 Issue 10, p46-52, 7p
Publikováno v:
In Computer Vision and Image Understanding May 2020 194
Particle Filter is an effective solution to track objects in video sequences in complex situations. Its key idea is to estimate the density over the possible states of the object using a weighted sample whose elements are called particles. One of its
Externí odkaz:
http://arxiv.org/abs/1210.4863
Autor:
Nguyen, Thanh Phuong, Nguyen, Xuan Son
Publikováno v:
In Computer Vision and Image Understanding June 2018 171:83-94
$N$ conformal theory models $WD^{(p)}_{3}$ coupled locally by their energy operators are analyzed by means of a perturbative renormalization group. New non-trivial fixed points are found.
Comment: 7 pages, 6 figures, Proceedings of the conferenc
Comment: 7 pages, 6 figures, Proceedings of the conferenc
Externí odkaz:
http://arxiv.org/abs/hep-th/0110210