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Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
[article]
2007
arXiv
pre-print
Preserved Fulltext
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data. ...
Dealing with such missing observations is a difficult problem. ...
Dealing with missing data is the most difficult problem. ...
arXiv:cs/0701172v1
fatcat:kni3imhmlfaezh7rpo4gruswgm
Enhancing Multi-Robot Perception via Learned Data Association
[article]
2021
arXiv
pre-print
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Solutions must effectively leverage multiple, non-static, and intermittently-overlapping RGB perspectives. ...
This setting entails several real-world challenges, especially those relating to unregistered multi-agent image data. ...
. • We propose an end-to-end learn-able Multi-Agent Infilling Network, MAIN, that (1) extracts spatial features for pairwise comparison, (2) leverages spatial context and matching uncertainty to produce ...
arXiv:2107.00769v1
fatcat:3fnqzee4ejampfeoee3l3oa5hu
Non-parametric regression for space–time forecasting under missing data
2012
Computers, Environment and Urban Systems
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To complicate matters, the missing data is often not missing at random, and is characterised by long periods where no data is observed. ...
The model performance is compared with another form of non-parametric regression, K-nearest neighbours, which is also effective in forecasting under missing data. ...
Acknowledgements This work was completed as part of the STANDARD project (EP/ G023212/1), funded by EPSRC and in partnership with Transport for London. ...
doi:10.1016/j.compenvurbsys.2012.08.005
fatcat:qlue6subsfbj3avsdt2omb2ldq
Transfer learning for cross-modal demand prediction of bike-share and public transit
[article]
2022
arXiv
pre-print
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It is expectable that cross-modal ripple effects become more prevalent, with Mobility as a Service. Therefore, by propagating demand data across modes, a better demand prediction could be obtained. ...
These results verify our combined method's forecasting improvement over existing benchmarks and demonstrate the good transferability for cross-modal demand prediction in multiple cities. ...
In order to deal with the missing data problem, there are two solution frameworks discussed in this paper. ...
arXiv:2203.09279v1
fatcat:yqtp7hiknrcxlcyqcrjjtjtco4
Cross-analysis of hazmat road accidents using multiple databases
2009
Accident Analysis and Prevention
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Databases on dangerous goods accidents, road accidents and work accidents were cross-analyzed to retrieve multiple informations on the same events. ...
This paper presents a methodology and a tool that were developed to integrate many data sources to analyze hazmat accidents in the province of Quebec, Canada. ...
We observe the opposite situation for accident with fixed vehicles.
Cross-Observation The cross-observation of the three databases is conducted with the help of HECOT. ...
doi:10.1016/j.aap.2008.05.010
pmid:19819367
fatcat:4edcfxiex5eifb3zelh54benq4
STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product
2020
Remote Sensing
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Remote sensing datasets with both high spatial and high temporal resolution are critical for monitoring and modeling the dynamics of land surfaces. ...
The multiple refined time series are then integrated stepwisely, from coarse- to fine- and high-resolution, ultimately providing a synthetic daily, high-resolution surface reflectance observations. ...
Landsat project management and staff at USGS Earth Resources Observation and Science (EROS) Center South Dakota for providing the Landsat data free of charge. We thank ...
doi:10.3390/rs12193209
fatcat:yixt3f7dv5hkrgmdkidax7wkny
Image registration and fusion for NASA remotely sensed imagery
2000
Proceedings of the Third International Conference on Information Fusion
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With the increasing importance of multiple platform/multiple NASA remote sensing missions, the integration of digital data from disparate sources has become critical to the success of these endeavors. ...
In meeting some of the Earth System Science objectives, the combination of all these data at various resolutions-spatial, radiometric and temporalwill allow a better understanding of Earth and space science ...
mosaics of multiple sensor data with multimodal, temporal and viewpoint image fusion. ...
doi:10.1109/ific.2000.862667
fatcat:cp62jfxmdrbd3m6l5gwdf6xcqm
Auditing data streams for correlated glitches
2013
International Journal of Information Quality
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In the case study, we focus on duplicate, missing, inconsistent and anomalous data, and correlations between glitches across time, space and topology. ...
In this paper, we present a methodology for automated auditing of massive, complex data streams with a focus on correlated glitches, and a case study that illustrates the application of this methodology ...
More specifically, we are interested in how much the sequences match temporally, and how the degree of match varies with spatial separation and network topology. ...
doi:10.1504/ijiq.2013.054273
fatcat:nxjkplmuobbknadtaxj2pcscom
A review of spatial causal inference methods for environmental and epidemiological applications
[article]
2020
arXiv
pre-print
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These methods are extended to the spatiotemporal case where we compare and contrast the potential outcomes framework with Granger causality, and to geostatistical analyses involving spatial random fields ...
The methods are introduced in the context of observational environmental and epidemiological studies, and are compared using both a simulation study and analysis of the effect of ambient air pollution ...
Acknowledgements This work was partially supported by the National Institutes of Health (R01ES031651-01,R01ES027892-01) and King Abdullah University of Science and Technology (3800.2). ...
arXiv:2007.02714v1
fatcat:ujag67wnabfk5i77ebn6fg6gfe
Point-of-Interest (POI) Data Validation Methods: An Urban Case Study
2021
ISPRS International Journal of Geo-Information
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The datasets were found to have poor completeness with errors of commission and omission, although spatial errors were reasonably low (<60 m). Thematic accuracy in names and place types varied. ...
procedures, and the intended application of POI data. ...
Acknowledgments: We thank Google and HERE for permitting the use of their POI data in the case study.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi10110735
fatcat:svx55wquujfxvovqf3a7q4p2pa
"Spatial Energetics"
2016
American Journal of Preventive Medicine
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Third, the field must come to agreement on appropriate statistical methodologies to account for multiple observations per person. ...
linked to activity-related health behaviors with far more robust and detailed data than in previous work. ...
We thank the TREC Spatial and Contextual Measures and Modeling Working Group, who contributed greatly to this analysis. ...
doi:10.1016/j.amepre.2016.06.006
pmid:27528538
pmcid:PMC5067207
fatcat:jr2tjr2t3bcsfmx7yvmyklgdc4
Human tracking over camera networks: a review
2017
EURASIP Journal on Advances in Signal Processing
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., generative trackers and discriminative trackers. ...
This review paper surveys the most widely used techniques and recent advances for human tracking over camera networks. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s13634-017-0482-z
fatcat:sc6y6mffn5hjzaawmnduamqpz4
SkyQuery: An Implementation of a Parallel Probabilistic Join Engine for Cross-Identification of Multiple Astronomical Databases
[article]
2012
arXiv
pre-print
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Consequently, a novel system is necessary that can cross-identify multiple catalogs on-demand, efficiently and reliably. ...
Legacy astronomical catalogs already contain detections of more than a hundred million objects while the ongoing and future surveys will produce catalogs of billions of objects with multiple detections ...
Acknowledgements This work was supported by the following Hungarian grants: NKTH: Polányi and KCKHA005. ...
arXiv:1206.5021v1
fatcat:vnghwx76cng2lcegskrctwwcvq
A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures
2017
IEEE Transactions on Image Processing
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2016 pre-print arXiv:1608.05143v1 fatcat:iguu6oiklbc4hlwggusy3stupiOther Versions
Our work has three main contributions: (1) a systematic pipeline to deal with cross-source point cloud registration; (2) a graph construction method to maintain macro and micro structures; (3) a new graph ...
This paper therefore illustrates a novel registration method which successfully aligns two cross-source point clouds in the presence of significant missing data, large variations in point density, scale ...
ACKNOWLEDGMENT The authors would like to thank the Nokia Corporation for their help and acknowledge the useful discussions with colleagues in GBDTC. ...
doi:10.1109/tip.2017.2695888
pmid:28436871
fatcat:ukciy4ot3re4pipymaolhzi4oe
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
[article]
2020
arXiv
pre-print
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With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects. ...
Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces. ...
The proposed method projected latent variables fused with multi-view features into multiple observations. ...
arXiv:2006.08159v1
fatcat:g4467zmutndglmy35n3eyfwxku
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