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pro vyhledávání: '"LIU, Chenguang"'
In this paper, we prove that the Kac stochastic particle system converges to the weak solution of the spatially homogeneous Boltzmann equation for hard potentials and hard spheres. We give, under the initial data with finite exponential moment assump
Externí odkaz:
http://arxiv.org/abs/2409.04031
In this paper, we investigate the asymptotic behavior of nearly unstable Hawkes processes whose regression kernel has $L^1$ norm strictly greater than one and close to one as time goes to infinity. We find that,the scaling size determines the scaling
Externí odkaz:
http://arxiv.org/abs/2407.19741
Deep neural networks and other modern machine learning models are often susceptible to adversarial attacks. Indeed, an adversary may often be able to change a model's prediction through a small, directed perturbation of the model's input - an issue i
Externí odkaz:
http://arxiv.org/abs/2407.08678
Detecting objects from aerial images poses significant challenges due to the following factors: 1) Aerial images typically have very large sizes, generally with millions or even hundreds of millions of pixels, while computational resources are limite
Externí odkaz:
http://arxiv.org/abs/2404.06180
Autor:
Liu, Chenguang, Wang, Chisheng, Dong, Feifei, Xiao, Xiayang, Su, Xin, Zhu, Chuanhua, Zhang, Dejin, Li, Qingquan
Edge detection is a long-standing problem in computer vision. Recent deep learning based algorithms achieve state-of-the-art performance in publicly available datasets. Despite their efficiency, their performance, however, relies heavily on the pre-t
Externí odkaz:
http://arxiv.org/abs/2404.04856
We consider L\'evy processes that are approximated by compound Poisson processes and, correspondingly, BSDEs driven by L\'evy processes that are approximated by BSDEs driven by their compound Poisson approximations. We are interested in the rate of c
Externí odkaz:
http://arxiv.org/abs/2402.01337
A high-order multi-time-step (MTS) scheme for the bond-based peridynamic (PD) model, an extension of classical continuous mechanics widely used for analyzing discontinuous problems like cracks, is proposed. The MTS scheme discretizes the spatial doma
Externí odkaz:
http://arxiv.org/abs/2401.04966
Perception of the driving environment is critical for collision avoidance and route planning to ensure driving safety. Cooperative perception has been widely studied as an effective approach to addressing the shortcomings of single-vehicle perception
Externí odkaz:
http://arxiv.org/abs/2312.10342
Deep learning (DL) has shown great potential in revolutionizing the traditional communications system. Many applications in communications have adopted DL techniques due to their powerful representation ability. However, the learning-based methods ca
Externí odkaz:
http://arxiv.org/abs/2311.13789
Publikováno v:
in IEEE Wireless Communications Letters, vol. 12, no. 11, pp. 1831-1835, Nov. 2023
Cooperative perception has been widely used in autonomous driving to alleviate the inherent limitation of single automated vehicle perception. To enable cooperation, vehicle-to-vehicle (V2V) communication plays an indispensable role. This work analyz
Externí odkaz:
http://arxiv.org/abs/2311.10336