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Multi View Spatial-Temporal Model for Travel Time Estimation
[article]
2021
arXiv
pre-print
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Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model the traffic semantics. ...
Therefore, we propose a Multi-View Spatial-Temporal Model (MVSTM) to capture the dependence of spatial-temporal and trajectory. ...
In future research, we will consider some novel spatio-temporal map methods and add POI interest nodes to represent travel. Figure 1 : 1 The Architecture of MVSTM. ...
arXiv:2109.07402v2
fatcat:mmjbisapezba7d47hlsghsnkba
A Survey on Societal Event Forecasting with Deep Learning
[article]
2021
arXiv
pre-print
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Forecasting such events is of great importance for decision-making and resource allocation. ...
Then, we summarize data resources, traditional methods, and recent development of deep learning models for these problems. ...
The first part is spatial-temporal weighted graph (STWG) inference. It results in a graph representation for the spatio-temporal evolution of the data. ...
arXiv:2112.06345v1
fatcat:jtdlo67bbbazhj6xea55h6bbqa
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TMM 2021 4220-4231 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classi-fication. ...
Liu, Q., +, TMM 2021 2114-2126 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
A Survey on Big Data for Trajectory Analytics
2020
ISPRS International Journal of Geo-Information
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Hence, Spatial Big Data emerges as a data management technology for indexing, storing, and retrieving large volumes of spatio-temporal data. ...
A Data Warehouse (DW) is one of the premier Big Data analysis and complex query processing infrastructures. Trajectory Data Warehouses (TDW) emerge as a DW dedicated to trajectory data analysis. ...
DiStRDF is a distributed system that uses RDF to process spatio-temporal queries in a network of heterogeneous databases. In Nikitopoulos et al.' ...
doi:10.3390/ijgi9020088
fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi
A Survey on Trajectory Data Management, Analytics, and Learning
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2003.11547v1 fatcat:iwvb5ec7hfcsjddlevdisyz3ma
In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only ...
Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage ...
to capture user preferences in addition to the spatio-temporal contexts. ...
arXiv:2003.11547v2
fatcat:5gf5h5skqjbrhf67cflygggnky
MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations
2020
Applied Sciences
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In this paper, we propose a multi-task learning model based POI recommender system which exploits a structure of generative adversarial networks (GAN) simultaneously considering temporal check-ins and ...
However, due to the differences between LBSNs and conventional recommendation tasks, besides the user feedback, the spatio-temporal information is also significant to precisely capture the user preferences ...
Inspired by the end-to-end memory networks, Xia et al. proposed an attention-based recurrent neural network, which exploited the external memory for matching the user preference and historical check-in ...
doi:10.3390/app10196664
fatcat:7inzkhfcr5afppwphjcvkup5vu
Modeling and Multiple Perceptions
[chapter]
2017
Encyclopedia of GIS
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Cross-References
Computer Environments for GIS and CAD Movement Patterns in Spatio-Temporal Data
Cross-References Geospatial Semantic Web, Interoperability Metadata and Interoperability, Geospatial ...
Modeling with Pictogrammic Languages OGC's Open Standards for Geospatial Interoperability Vector Data
Cross-References
Indexing, Query and Velocity-Constrained Privacy Threats in Location-Based Services ...
More complex temporal and spatio-temporal expressions can be made. ...
doi:10.1007/978-3-319-17885-1_805
fatcat:d4t4ossygvcutpfabqn6f3hjcm
Thiessen Polygons
[chapter]
2017
Encyclopedia of GIS
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Temporal geographic information systems (GIS) ...
Definition Geographic information is inherently spatial and temporal. Geographic applications often demand an integrative approach to examine changes and interactions over space and time. ...
Cross-References Fastest-Path Computation Graph Theory, Konigsberg Problem Nearest Neighbor Problem Routing Vehicles, Algorithms ...
doi:10.1007/978-3-319-17885-1_101387
fatcat:gzp2stwscbcf7eupd3h6eztjri
Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods
[article]
2018
arXiv
pre-print
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CCS Concepts: Information systems > Spatial-temporal systems; Information systems > Data analytics; Information systems > Data mining; Computing methodologies > Machine learning Additional Key Words and ...
This source of information constitutes a rich input for data analytics processes, either offline (e.g. cluster analysis, hot motion discovery) or online (e.g. short-term forecasting of forthcoming positions ...
queries that include predictive spatio-temporal range, aggregate (number of objects), and k-nn queries, as well as continuous queries. ...
arXiv:1807.04639v1
fatcat:lvje57kod5eldaplkl53wbwgti
A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data
2022
ISPRS International Journal of Geo-Information
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For this purpose, a novel trajectory data cube model (TDC) is designed to store time, position, and velocity information hierarchically in the trajectory data. ...
In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis ...
POIs. ...
doi:10.3390/ijgi11030209
fatcat:elujinrserd7zpghwrxctkzc5y
Geotagging in multimedia and computer vision—a survey
2010
Multimedia tools and applications
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The retrieval process involves (i) performing spatio-temporal filtering to get relevant videos, (ii) ranking videos by the overlap of their FOVs with the query region. ...
The process of querying a POI database given a GPS co-ordinate is known as reverse-geocoding. ...
doi:10.1007/s11042-010-0623-y
fatcat:esd7subpbjhntpes6quvngtwti
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
2020
IEEE Geoscience and Remote Sensing Magazine
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2020 pre-print arXiv:2007.06277v1 fatcat:mogo73jv2jfenb7jyrup64ibau
The authors use neural networks to model road network topology and residual learning [81] to model spatio-temporal dependencies. ...
In [44] the authors propose a graph convolutional network based method for driving speed estimation of road segments. ...
doi:10.1109/mgrs.2020.2994107
fatcat:qwv7nypcsnb33hap37jsjqftru
Machine Learning of Spatial Data
2021
ISPRS International Journal of Geo-Information
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Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. ...
While the latter have been far less explored, we argue that they offer the most promising prospects for the future of spatial machine learning. ...
[160] proposed a spatio-temporal graph neural network with attention mechanism and LSTM units to jointly learn spatial-temporal dependencies on traffic networks. ...
doi:10.3390/ijgi10090600
fatcat:fqvu4og76newree6pakfqgdbia
A critical evaluation of location based services and their potential
2007
Journal of Location Based Services
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The first question requires the use of position determination technology (PDT) that is either carried by the person initiating the query, e.g. a GPS receiver, or is accessed over a network connection, ...
This kind of query is dependent on both geopositioning and the availability of 'point of interest' databases. ...
Acknowledgements The Editorial team of JLBS wish to thank the publishing team at Taylor and Francis for their support in establishing the Journal, the members of the Editorial Board who have reviewed this ...
doi:10.1080/17489720701584069
fatcat:spmkpyyds5bzfnmu7dgidrcpqq
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022 ...
Cai, H., TII Jan. 2020 587-594 Jiang, L., see Xia, Z., TII Jan. 2020 629-638 Jiang, Q., Yan, S., Yan, X., Yi, H., and Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation Learning for ...
., +, TII Jan. 2020 595-605
Histogram of Fuzzy Local Spatio-Temporal Descriptors for Video Action
Recognition. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
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