Collusion-resistant spatial phenomena crowdsourcing via mixture of Gaussian Processes regression
With the rapid development of mobile devices, spatial location-based crowdsourcing applications have attracted much attention. These applications also introduce new security risks due to untrustworthy data sources. In the context of crowdsourcing applications for spatial interpolation (i.e. spatial...
Saved in:
Main Authors: | Zhang, Jie, Xiang, Qikun, Nevat, Ido, Zhang, Pengfei |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/87328 http://hdl.handle.net/10220/49471 http://ceur-ws.org/Vol-1578/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Collusion-resistant spatial phenomena crowdsourcing
by: Xiang, Qikun
Published: (2017) -
Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations
by: Sheng, Shunan, et al.
Published: (2024) -
Dynamic pricing in spatial crowdsourcing: A matching-based approach
by: TONG, Yongxin, et al.
Published: (2018) -
Predicting shear strength of corroded RC columns: a probabilistic model with enhanced Gaussian Process Regression
by: Yu, Bo, et al.
Published: (2025) -
VALUE CO-CREATION THROUGH OPEN INNOVATION: UNDERSTANDING PARTICIPATION AND LEARNING IN CROWDSOURCING
by: YE HUA
Published: (2012)