Zobrazeno 1 - 10
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pro vyhledávání: '"MA Tianyu"'
We construct and study non-finitely graded Lie algebras $\mathcal{HV}(a,b;\epsilon)$ related to Heisenberg-Virasoro type Lie algebras, where $a,b$ are complex numbers, and $\epsilon = \pm 1$. Using combinatorial techniques, we completely classify the
Externí odkaz:
http://arxiv.org/abs/2410.06862
Graph pattern matching, one of the fundamental graph mining problems, aims to extract structural patterns of interest from an input graph. The state-of-the-art graph matching algorithms and systems are mainly designed for undirected graphs. Directed
Externí odkaz:
http://arxiv.org/abs/2404.11105
In this paper, we study representations of non-finitely graded Lie algebras $\mathcal{W}(\epsilon)$ related to Virasoro algebra, where $\epsilon = \pm 1$. Precisely speaking, we completely classify the free $\mathcal{U}(\mathfrak h)$-modules of rank
Externí odkaz:
http://arxiv.org/abs/2403.04213
Autor:
Ma, Tianyu, Stepanov, Eugene
We study asymptotics of the eigenvalues and eigenfunctions of the operators used for constructing multidimensional scaling (MDS) on compact connected Riemannian manifolds, in particular on closed connected symmetric spaces. They are the limits of eig
Externí odkaz:
http://arxiv.org/abs/2401.11571
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 9, Pp 1433-1444 (2024)
[Objective] This study aims to explore the characteristics of PvGH3 family members in kidney bean and their roles in abiotic stress, to provide reference for further study of gene function, as well as provides new gene resources for breeding stress
Externí odkaz:
https://doaj.org/article/a17877a4a76e432d82919edb7d546ad2
Autor:
Butoi, Victor Ion, Ortiz, Jose Javier Gonzalez, Ma, Tianyu, Sabuncu, Mert R., Guttag, John, Dalca, Adrian V.
While deep learning models have become the predominant method for medical image segmentation, they are typically not capable of generalizing to unseen segmentation tasks involving new anatomies, image modalities, or labels. Given a new segmentation t
Externí odkaz:
http://arxiv.org/abs/2304.06131
Semantic segmentation is an important task in computer vision that is often tackled with convolutional neural networks (CNNs). A CNN learns to produce pixel-level predictions through training on pairs of images and their corresponding ground-truth se
Externí odkaz:
http://arxiv.org/abs/2203.10091
Autor:
Bai, Zhexin, Cheng, Xu, Ma, Tianyu, Li, Gege, Wang, Xiaojue, Wang, Ziyu, Yi, Ling, Liu, Zhidong
Publikováno v:
In Lung Cancer November 2024 197
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:2981-2988
Autor:
Yuan, Chenyang, Ma, Tianyu, Liu, Mengting, Zeng, Xiaoyun, Tang, Gongrui, Xing, Yazhi, Zhang, Tianhong
Publikováno v:
In Heliyon 30 October 2024 10(20)