Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Fu, Tom Z. J."'
This paper focuses on the problem of semi-supervised domain adaptation for time-series forecasting, which is underexplored in literatures, despite being often encountered in practice. Existing methods on time-series domain adaptation mainly follow th
Externí odkaz:
http://arxiv.org/abs/2111.03422
Continuing the current trend, Internet traffic is expected to grow significantly over the coming years, with video traffic consuming the biggest share. On the one hand, this growth poses challenges to access providers (APs), who have to upgrade their
Externí odkaz:
http://arxiv.org/abs/2012.03293
Autor:
Li, Zijian, Cai, Ruichu, Chai, Kok Soon, Ng, Hong Wei, Vu, Hoang Dung, Winslett, Marianne, Fu, Tom Z. J., Xu, Boyan, Yang, Xiaoyan, Zhang, Zhenjie
Data-driven models are becoming essential parts in modern mechanical systems, commonly used to capture the behavior of various equipment and varying environmental characteristics. Despite the advantages of these data-driven models on excellent adapti
Externí odkaz:
http://arxiv.org/abs/1910.06761
Data communication in cloud-based distributed stream data analytics often involves a collection of parallel and pipelined TCP flows. As the standard TCP congestion control mechanism is designed for achieving "fairness" among competing flows and is ag
Externí odkaz:
http://arxiv.org/abs/1811.04377
Elasticity is highly desirable for stream processing systems to guarantee low latency against workload dynamics, such as surges in data arrival rate and fluctuations in data distribution. Existing systems achieve elasticity following a resource-centr
Externí odkaz:
http://arxiv.org/abs/1711.01046
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Huge amount of data with both space and text information, e.g., geo-tagged tweets, is flooding on the Internet. Such spatio-textual data stream contains valuable information for millions of users with various interests on different keywords and locat
Externí odkaz:
http://arxiv.org/abs/1612.02564
Key-based workload partitioning is a common strategy used in parallel stream processing engines, enabling effective key-value tuple distribution over worker threads in a logical operator. While randomized hashing on the keys is capable of balancing t
Externí odkaz:
http://arxiv.org/abs/1610.05121
Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, even the state-of-the-art dehazing algorithms may not provide sufficient support to video
Externí odkaz:
http://arxiv.org/abs/1609.02035