Zobrazeno 1 - 10
of 2 569
pro vyhledávání: '"JENSEN, CHRISTIAN"'
Graph stream summarization refers to the process of processing a continuous stream of edges that form a rapidly evolving graph. The primary challenges in handling graph streams include the impracticality of fully storing the ever-growing datasets and
Externí odkaz:
http://arxiv.org/abs/2412.15516
Trajectory representation learning (TRL) maps trajectories to vectors that can then be used for various downstream tasks, including trajectory similarity computation, trajectory classification, and travel-time estimation. However, existing TRL method
Externí odkaz:
http://arxiv.org/abs/2411.15096
Trajectory representation learning (TRL) maps trajectories to vectors that can be used for many downstream tasks. Existing TRL methods use either grid trajectories, capturing movement in free space, or road trajectories, capturing movement in a road
Externí odkaz:
http://arxiv.org/abs/2411.14768
Autor:
Wu, Xinle, Wu, Xingjian, Zhang, Dalin, Zhang, Miao, Guo, Chenjuan, Yang, Bin, Jensen, Christian S.
Societal and industrial infrastructures and systems increasingly leverage sensors that emit correlated time series. Forecasting of future values of such time series based on recorded historical values has important benefits. Automatically designed mo
Externí odkaz:
http://arxiv.org/abs/2411.05833
Autor:
Miao, Hao, Liu, Ziqiao, Zhao, Yan, Guo, Chenjuan, Yang, Bin, Zheng, Kai, Jensen, Christian S.
The expanding instrumentation of processes throughout society with sensors yields a proliferation of time series data that may in turn enable important applications, e.g., related to transportation infrastructures or power grids. Machine-learning bas
Externí odkaz:
http://arxiv.org/abs/2410.20905
In large venues like shopping malls and airports, knowledge on the indoor populations fuels applications such as business analytics, venue management, and safety control. In this work, we provide means of modeling populations in partitions of indoor
Externí odkaz:
http://arxiv.org/abs/2410.21142
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intelligent transportation systems of cities as well as in spatio-temporal dat
Externí odkaz:
http://arxiv.org/abs/2410.19192
Autor:
Li, Zhe, Qiu, Xiangfei, Chen, Peng, Wang, Yihang, Cheng, Hanyin, Shu, Yang, Hu, Jilin, Guo, Chenjuan, Zhou, Aoying, Wen, Qingsong, Jensen, Christian S., Yang, Bin
Time Series Forecasting (TSF) is key functionality in numerous fields, including in finance, weather services, and energy management. While TSF methods are emerging these days, many of them require domain-specific data collection and model training a
Externí odkaz:
http://arxiv.org/abs/2410.11802
Range-filtering approximate nearest neighbor (RFANN) search is attracting increasing attention in academia and industry. Given a set of data objects, each being a pair of a high-dimensional vector and a numeric value, an RFANN query with a vector and
Externí odkaz:
http://arxiv.org/abs/2409.02571
Autor:
Lin, Yan, Zhou, Zeyu, Liu, Yicheng, Lv, Haochen, Wen, Haomin, Li, Tianyi, Li, Yushuai, Jensen, Christian S., Guo, Shengnan, Lin, Youfang, Wan, Huaiyu
Spatiotemporal trajectories are sequences of timestamped locations, which enable a variety of analyses that in turn enable important real-world applications. It is common to map trajectories to vectors, called embeddings, before subsequent analyses.
Externí odkaz:
http://arxiv.org/abs/2407.12550