Zobrazeno 1 - 10
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pro vyhledávání: '"GAO Jie"'
Metric magnitude is a measure of the "size" of point clouds with many desirable geometric properties. It has been adapted to various mathematical contexts and recent work suggests that it can enhance machine learning and optimization algorithms. But
Externí odkaz:
http://arxiv.org/abs/2409.04411
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for edge-assi
Externí odkaz:
http://arxiv.org/abs/2409.00324
We propose a bearing health management framework leveraging large language models (BearLLM), a novel multimodal model that unifies multiple bearing-related tasks by processing user prompts and vibration signals. Specifically, we introduce a prior kno
Externí odkaz:
http://arxiv.org/abs/2408.11281
In this paper, the discrete-time modified algebraic Riccati equation (MARE) is solved when the system model is completely unavailable. To achieve this, firstly a brand new iterative method based on the standard discrete-time algebraic Riccati equatio
Externí odkaz:
http://arxiv.org/abs/2407.13227
Given a weighted graph $G$, a $(\beta,\varepsilon)$-hopset $H$ is an edge set such that for any $s,t \in V(G)$, where $s$ can reach $t$ in $G$, there is a path from $s$ to $t$ in $G \cup H$ which uses at most $\beta$ hops whose length is in the range
Externí odkaz:
http://arxiv.org/abs/2407.10249
Autor:
Deng, Chengyuan, Chen, Zhengzhang, Zhao, Xujiang, Wang, Haoyu, Wang, Junxiang, Chen, Haifeng, Gao, Jie
The objective of change point detection is to identify abrupt changes at potentially multiple points within a data sequence. This task is particularly challenging in the online setting where various types of changes can occur, including shifts in bot
Externí odkaz:
http://arxiv.org/abs/2407.09698
Autor:
Mohamed, Salahudeen, Yuan, Qian, Litvinov, Dimitri, Gao, Jie, Gaganidze, Ermile, Terentyev, Dmitry, Schneider, Hans-Christian, Aktaa, Jarir
The hostile condition in a fusion tokomak reactor poses the main challenge in the development and design of in-vessel components such as divertor and breeding blanket due to fusion relevant irradiation conditions (14 MeV) and large thermal loads. The
Externí odkaz:
http://arxiv.org/abs/2407.06022
Autor:
Wijaya, Derry, Callahan, Brendan, Hewitt, John, Gao, Jie, Ling, Xiao, Apidianaki, Marianna, Callison-Burch, Chris
Publikováno v:
Volume: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Year: 2017, Pages: 1452-1463
Bilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effective and extendable framework for completing the matrix. This method harn
Externí odkaz:
http://arxiv.org/abs/2406.13195
We consider a cooperative learning scenario where a collection of networked agents with individually owned classifiers dynamically update their predictions, for the same classification task, through communication or observations of each other's predi
Externí odkaz:
http://arxiv.org/abs/2405.20808
Publikováno v:
IEEE Internet Things J. (Volume: 11, Issue: 7, 01 April 2024)
Device-edge collaboration on deep neural network (DNN) inference is a promising approach to efficiently utilizing network resources for supporting artificial intelligence of things (AIoT) applications. In this paper, we propose a novel digital twin (
Externí odkaz:
http://arxiv.org/abs/2405.17664