Zobrazeno 1 - 10
of 27 008
pro vyhledávání: '"GAO, Wei"'
Sufficient dimension reduction (SDR) is a valuable approach for handling high-dimensional data. Outer Product Gradient (OPG) is an popular approach. However, because of focusing the mean regression function, OPG may ignore some directions of central
Externí odkaz:
http://arxiv.org/abs/2407.20738
The autonomous mapping of large-scale urban scenes presents significant challenges for autonomous robots. To mitigate the challenges, global planning, such as utilizing prior GPS trajectories from OpenStreetMap (OSM), is often used to guide the auton
Externí odkaz:
http://arxiv.org/abs/2407.17078
Autor:
An, Liheng, Pan, Haiyang, Qiu, Wen-Xuan, Wang, Naizhou, Ru, Shihao, Tan, Qinghai, Dai, Xuran, Cai, Xiangbin, Shang, Qiuyu, Lu, Xiufang, Jiang, Hao, Lyu, Xiaodan, Watanabe, Kenji, Taniguchi, Takashi, Wu, Fengcheng, Gao, Wei-bo
Flat bands and electron correlation in moir\'e lattices give rise to many exotic phases, including Mott insulators, superconductivity, and topological states. Within the first moir\'e band, integer and fractional quantum anomalous Hall effects have b
Externí odkaz:
http://arxiv.org/abs/2407.13674
In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel are presented
Externí odkaz:
http://arxiv.org/abs/2407.09254
Publikováno v:
Computational Visual Media, 2024
Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose
Externí odkaz:
http://arxiv.org/abs/2407.05677
This work explores the challenges of creating a scalable and robust robot navigation system that can traverse both indoor and outdoor environments to reach distant goals. We propose a navigation system architecture called IntentionNet that employs a
Externí odkaz:
http://arxiv.org/abs/2407.03122
In this paper, we explore a critical yet under-investigated issue: how to learn robust and well-generalized 3D representation from pre-trained vision language models such as CLIP. Previous works have demonstrated that cross-modal distillation can pro
Externí odkaz:
http://arxiv.org/abs/2407.00905
Autor:
Zhao, Yifan, Wang, Xiaoyu, Zhou, Kaibo, Wang, Xuehui, Wang, Yan, Gao, Wei, Liu, Ruiqi, Shu, Feng
Since the secrecy rate (SR) performance improvement obtained by secure directional modulation (DM) network is limited, an active intelligent reflective surface (IRS)-assisted DM network is considered to attain a high SR. To address the SR maximizatio
Externí odkaz:
http://arxiv.org/abs/2406.09192
The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and op
Externí odkaz:
http://arxiv.org/abs/2406.09136