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pro vyhledávání: '"Wang, Fangfang"'
In the domain of language-based fashion image retrieval, pinpointing the desired fashion item using both a reference image and its accompanying textual description is an intriguing challenge. Existing approaches lean heavily on static fusion techniqu
Externí odkaz:
http://arxiv.org/abs/2405.15451
In this paper, we investigate phase transitions in the Majority-Vote model coupled with noise layers of different structures. We examine the Square lattice and Random-regular networks, as well as their combinations, for both vote layers and noise lay
Externí odkaz:
http://arxiv.org/abs/2307.11398
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 14, Pp 1775-1781 (2024)
Traumatic central nervous system injury can cause imbalance in intestinal microenvironmental homeostasis by disrupting intestinal barrier function, while the disturbed intestinal microenvironment can react on the central nervous system and aggravate
Externí odkaz:
https://doaj.org/article/20a23129149c4dca96161b5de20d4ed2
In this work, we propose a deep learning-based method to perform semiparametric regression analysis for spatially dependent data. To be specific, we use a sparsely connected deep neural network with rectified linear unit (ReLU) activation function to
Externí odkaz:
http://arxiv.org/abs/2301.03747
Autor:
Lin, Xiujing1 (AUTHOR), Wang, Fangfang1 (AUTHOR), Li, Yonglin1 (AUTHOR), Lei, Fang2 (AUTHOR), Chen, Weisheng3 (AUTHOR), Arbing, Rachel H.4 (AUTHOR), Chen, Wei-Ti4 (AUTHOR) wchen@sonnet.ucla.edu, Huang, Feifei1 (AUTHOR) pt860315@163.com
Publikováno v:
BMC Cancer. 5/21/2024, Vol. 24 Issue 1, p1-16. 16p.
To safely and rationally participate in dense and heterogeneous traffic, autonomous vehicles require to sufficiently analyze the motion patterns of surrounding traffic-agents and accurately predict their future trajectories. This is challenging becau
Externí odkaz:
http://arxiv.org/abs/2206.10902
The applications of traditional statistical feature selection methods to high-dimension, low sample-size data often struggle and encounter challenging problems, such as overfitting, curse of dimensionality, computational infeasibility, and strong mod
Externí odkaz:
http://arxiv.org/abs/2204.01682
Publikováno v:
J. Stat. Mech. (2022) 093206
This article offers a detailed analysis of pseudo-phase transitions of Ising and Baxter-Wu models in two-dimensional finite-size lattices. We carry out Wang Landau sampling to obtain the density of states. Using microcanonical inflection point analys
Externí odkaz:
http://arxiv.org/abs/2203.06563
Autor:
Chen, Yifeng, Chu, Wenqing, Wang, Fangfang, Tai, Ying, Yi, Ran, Gan, Zhenye, Yao, Liang, Wang, Chengjie, Li, Xi
Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently. However, most of the existing works directly feed the backbone feature
Externí odkaz:
http://arxiv.org/abs/2201.04796
With the rapid advances of data acquisition techniques, spatio-temporal data are becoming increasingly abundant in a diverse array of disciplines. Here we develop spatio-temporal regression methodology for analyzing large amounts of spatially referen
Externí odkaz:
http://arxiv.org/abs/2111.15086