Zobrazeno 1 - 10
of 465
pro vyhledávání: '"Xu, Kuan"'
In this paper, we present an efficient visual SLAM system designed to tackle both short-term and long-term illumination challenges. Our system adopts a hybrid approach that combines deep learning techniques for feature detection and matching with tra
Externí odkaz:
http://arxiv.org/abs/2408.03520
The ultraspherical spectral method features high accuracy and fast solution. In this article, we determine the sources of error arising from the ultraspherical spectral method and derive its effective condition number, which explains why its backward
Externí odkaz:
http://arxiv.org/abs/2405.11847
We have developed a method for constructing spectral approximations for convolution operators of Fredholm type. The algorithm we propose is numerically stable and takes advantage of the recurrence relations satisfied by the entries of such a matrix a
Externí odkaz:
http://arxiv.org/abs/2405.08598
We propose a continuous approach for computing the pseudospectra of linear operators following a 'solve-then-discretize' strategy. Instead of taking a finite section approach or using a finite-dimensional matrix to approximate the operator of interes
Externí odkaz:
http://arxiv.org/abs/2405.03285
Column generation (CG) is a vital method to solve large-scale problems by dynamically generating variables. It has extensive applications in common combinatorial optimization, such as vehicle routing and scheduling problems, where each iteration step
Externí odkaz:
http://arxiv.org/abs/2310.09686
Autor:
Zhan, Zitong, Li, Xiangfu, Li, Qihang, He, Haonan, Pandey, Abhinav, Xiao, Haitao, Xu, Yangmengfei, Chen, Xiangyu, Xu, Kuan, Cao, Kun, Zhao, Zhipeng, Wang, Zihan, Xu, Huan, Fang, Zihang, Chen, Yutian, Wang, Wentao, Fang, Xu, Du, Yi, Wu, Tianhao, Lin, Xiao, Qiu, Yuheng, Yang, Fan, Shi, Jingnan, Su, Shaoshu, Lu, Yiren, Fu, Taimeng, Dantu, Karthik, Wu, Jiajun, Xie, Lihua, Hutter, Marco, Carlone, Luca, Scherer, Sebastian, Huang, Daning, Hu, Yaoyu, Geng, Junyi, Wang, Chen
PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has been used in many tasks due to its meticulously designed application
Externí odkaz:
http://arxiv.org/abs/2309.13035
Autor:
Qin, Ouyuan, Xu, Kuan
We extend the ultraspherical spectral method to solving nonlinear ODE boundary value problems. We propose to use the inexact Newton-GMRES framework for which an effective preconditioner can be constructed and a fast Jacobian-vector multiplication can
Externí odkaz:
http://arxiv.org/abs/2306.17688
We apply the ultraspherical spectral method to solving time-dependent PDEs by proposing two approaches to discretization based on the method of lines and show that these approaches produce approximately same results. We analyze the stability, the err
Externí odkaz:
http://arxiv.org/abs/2306.12617
Autor:
Wang, Xinyan, Jia, Ting, Wang, Chongyu, Xu, Kuan, Shu, Zixin, Yu, Jian, Yang, Kuo, Zhou, Xuezhong
Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological networks and utilizing machine learning, especially, deep learning to
Externí odkaz:
http://arxiv.org/abs/2302.09335
Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph. Except for a few methods based on graph network, most of KGC methods trend to be trained based on independent triples, while are difficult to t
Externí odkaz:
http://arxiv.org/abs/2302.02614