Zobrazeno 1 - 10
of 119 769
pro vyhledávání: '"Multi-target"'
Autor:
Xu, Han1 (AUTHOR) xuh17@mails.tsinghua.edu.cn, Xue, Chen2 (AUTHOR) xuechenaero@163.com, Chen, Quan1 (AUTHOR) q-chen18@mails.tsinghua.edu.cn, Yang, Jun1 (AUTHOR) bliang@tsinghua.edu.cn, Liang, Bin1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Dec2024, Vol. 12 Issue 23, p3822. 17p.
Graph neural networks (GNNs) have emerged as an effective tool for fraud detection, identifying fraudulent users, and uncovering malicious behaviors. However, attacks against GNN-based fraud detectors and their risks have rarely been studied, thereby
Externí odkaz:
http://arxiv.org/abs/2412.18370
Grover's search algorithm has attracted great attention due to its quadratic speedup over classical algorithms in unsorted database search problems. However, Grover's algorithm is inefficient in multi-target search problems, except in the case of 1/4
Externí odkaz:
http://arxiv.org/abs/2412.18306
Autor:
Guo, Yixuan, Jiang, Qingwei, Xiong, Mingliang, Fang, Wen, Liu, Mingqing, Zhang, Qingqing, Xia, Shuaifan, Liu, Qingwen, Yan, Gang
With the increasing demand for internet of things (IoT) applications, especially for location-based services, how to locate passive mobile targets (MTs) with minimal beam control has become a challenge. Resonant beam systems are considered promising
Externí odkaz:
http://arxiv.org/abs/2412.15597
This paper proposes multi-target filtering algorithms in which target dynamics are given in continuous time and measurements are obtained at discrete time instants. In particular, targets appear according to a Poisson point process (PPP) in time with
Externí odkaz:
http://arxiv.org/abs/2411.19814
Autor:
Liu, Tao, Yang, Wu, Xu, Chen, Lv, Jiguang, Wang, Huanran, Zhang, Yuhang, Xu, Shuchun, Man, Dapeng
Federated learning, a novel paradigm designed to protect data privacy, is vulnerable to backdoor attacks due to its distributed nature. Current research often designs attacks based on a single attacker with a single backdoor, overlooking more realist
Externí odkaz:
http://arxiv.org/abs/2411.03926
Unmanned aerial vehicles (UAVs) have played an increasingly important role in military operations and social life. Among all application scenarios, multi-target tracking tasks accomplished by UAV swarms have received extensive attention. However, whe
Externí odkaz:
http://arxiv.org/abs/2412.12547
Autor:
Wang, Yizhou, Meinhardt, Tim, Cetintas, Orcun, Yang, Cheng-Yen, Pusegaonkar, Sameer Satish, Missaoui, Benjamin, Biswas, Sujit, Tang, Zheng, Leal-Taixé, Laura
Object perception from multi-view cameras is crucial for intelligent systems, particularly in indoor environments, e.g., warehouses, retail stores, and hospitals. Most traditional multi-target multi-camera (MTMC) detection and tracking methods rely o
Externí odkaz:
http://arxiv.org/abs/2412.00692
The optimal design of multi-target rendezvous and flyby missions presents significant challenges due to their inherent combination of traditional spacecraft trajectory optimization with high-dimensional combinatorial problems. This often necessitates
Externí odkaz:
http://arxiv.org/abs/2411.11281