Zobrazeno 1 - 10
of 11 971
pro vyhledávání: '"DONG, MING"'
Autor:
Deguchi, Kengo, Dong, Ming
We investigate the linear instability of flows that are stable according to Rayleigh's criterion for rotating fluids. Using Taylor-Couette flow as a primary test case, we develop large Reynolds number matched asymptotic expansion theories. Our theore
Externí odkaz:
http://arxiv.org/abs/2410.02252
We present a robust refinement method for estimating oriented normals from unstructured point clouds. In contrast to previous approaches that either suffer from high computational complexity or fail to achieve desirable accuracy, our novel framework
Externí odkaz:
http://arxiv.org/abs/2409.01100
Autor:
Mingyang, Zhao, Xiaohong, Jia, Lei, Ma, Yuke, Shi, Jingen, Jiang, Qizhai, Li, Dong-Ming, Yan, Tiejun, Huang
This work presents a novel and effective method for fitting multidimensional ellipsoids to scattered data in the contamination of noise and outliers. We approach the problem as a Bayesian parameter estimate process and maximize the posterior probabil
Externí odkaz:
http://arxiv.org/abs/2407.19269
This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and target point sets as separate entities, we develop a holistic framework whe
Externí odkaz:
http://arxiv.org/abs/2406.18817
Detecting and controlling the chirality of materials play an essential role in exploring nature, providing new avenues for material creation, discrimination, and manipulation. In such tasks, chiral reagents are essential in defining or enhancing the
Externí odkaz:
http://arxiv.org/abs/2406.09303
Point cloud normal estimation is a fundamental task in 3D geometry processing. While recent learning-based methods achieve notable advancements in normal prediction, they often overlook the critical aspect of equivariance. This results in inefficient
Externí odkaz:
http://arxiv.org/abs/2406.00347
Autor:
Lian, Jinqing, Liu, Xinyi, Shao, Yingxia, Dong, Yang, Wang, Ming, Wei, Zhang, Wan, Tianqi, Dong, Ming, Yan, Hailin
The Natural Language to SQL (NL2SQL) technology provides non-expert users who are unfamiliar with databases the opportunity to use SQL for data analysis.Converting Natural Language to Business Intelligence (NL2BI) is a popular practical scenario for
Externí odkaz:
http://arxiv.org/abs/2405.00527
Multimodal Sentiment Analysis (MSA) endeavors to understand human sentiment by leveraging language, visual, and acoustic modalities. Despite the remarkable performance exhibited by previous MSA approaches, the presence of inherent multimodal heteroge
Externí odkaz:
http://arxiv.org/abs/2404.04545
Efficient and tunable qubit unidirectional routers and spin-wave diodes play an important role in both classical and quantum information processing domains. Here, we reveal that multi-level neutral cold atoms can mediate both dissipative and coherent
Externí odkaz:
http://arxiv.org/abs/2404.01211
Chinese Spell Checking (CSC) is a widely used technology, which plays a vital role in speech to text (STT) and optical character recognition (OCR). Most of the existing CSC approaches relying on BERT architecture achieve excellent performance. Howeve
Externí odkaz:
http://arxiv.org/abs/2403.08492