Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Sun, Huafei"'
Autor:
Hua, Xiaoqiang, Peng, Linyu, Liu, Weijian, Cheng, Yongqiang, Wang, Hongqiang, Sun, Huafei, Wang, Zhenghua
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing 61, 5101815, 2023
This paper deals with the problem of detecting maritime targets embedded in nonhomogeneous sea clutter, where limited number of secondary data is available due to the heterogeneity of sea clutter. A class of linear discriminant analysis (LDA)-based m
Externí odkaz:
http://arxiv.org/abs/2409.17911
Electrocardiograms (ECG) analysis is one of the most important ways to diagnose heart disease. This paper proposes an efficient ECG classification method based on Wasserstein scalar curvature to comprehend the connection between heart disease and mat
Externí odkaz:
http://arxiv.org/abs/2206.12690
Classification and prediction of heart disease is a significant problem to realize medical treatment and life protection. In this paper, persistent homology is involved to analyze electrocardiograms and a novel heart disease classification method is
Externí odkaz:
http://arxiv.org/abs/2111.15100
This paper proposes Hodge Potential Choice (HPC), a new solution for abstract games with irreflexive dominance relations. This solution is formulated by involving geometric tools like differential forms and Hodge decomposition onto abstract games. We
Externí odkaz:
http://arxiv.org/abs/2109.14539
In this paper, we introduce the adaptive Wasserstein curvature denoising (AWCD), an original processing approach for point cloud data. By collecting curvatures information from Wasserstein distance, AWCD consider more precise structures of data and p
Externí odkaz:
http://arxiv.org/abs/2105.04402
Wasserstein distance, especially among symmetric positive-definite matrices, has broad and deep influences on development of artificial intelligence (AI) and other branches of computer science. A natural idea is to describe the geometry of $SPD\left(
Externí odkaz:
http://arxiv.org/abs/2012.07106
This paper proposes a new approach to describe the stability of linear time-invariant systems via the torsion $\tau(t)$ of the state trajectory. For a system $\dot{r}(t)=Ar(t)$ where $A$ is invertible, we show that (1) if there exists a measurable se
Externí odkaz:
http://arxiv.org/abs/2001.00938
Publikováno v:
Communications in Statistics - Theory and Methods 51(6), 1895-1910, 2022
In this paper, we investigate the Fisher-Rao geometry of the two-parameter family of Pareto distribution. We prove that its geometrical structure is isometric to the Poincar\'e upper half-plane model, and then study the corresponding geometrical feat
Externí odkaz:
http://arxiv.org/abs/1907.06006
Publikováno v:
Machine Learning (2021)
In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space. A statistical model is established to analyze the asymptotic property of the estimator. In particular
Externí odkaz:
http://arxiv.org/abs/1905.10725
Publikováno v:
Science China: Information Sciences, 63, 152201, 2020
In this paper, the Riemannian gradient algorithm and the natural gradient algorithm are applied to solve descent direction problems on the manifold of positive definite Hermitian matrices, where the geodesic distance is considered as the cost functio
Externí odkaz:
http://arxiv.org/abs/1904.02844