Zobrazeno 1 - 10
of 431
pro vyhledávání: '"nearest neighbor query"'
Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 7, p 282 (2023)
In view of the existing research in the field of k-nearest neighbor query in the road network, the incompleteness of the query user’s preference for data objects and the privacy protection of the query results are not considered, this paper propose
Externí odkaz:
https://doaj.org/article/425cc87af1b04ce694e4173a37a97eba
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4946 (2023)
As the Internet of Things devices are deployed on a large scale, location-based services are being increasingly utilized. Among these services, kNN (k-nearest neighbor) queries based on road network constraints have gained importance. This study focu
Externí odkaz:
https://doaj.org/article/0a731f422a0041f29a0256281a8e2b9d
Publikováno v:
Dianxin kexue, Vol 36, Pp 71-82 (2020)
Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary f
Externí odkaz:
https://doaj.org/article/708e217ff61c48ad854ca0f65522fd34
Autor:
Jingjing Guo, Jiacong Sun
Publikováno v:
IEEE Access, Vol 8, Pp 83754-83764 (2020)
Cloud computing enables resource-constrained clients to outsource their computation-intensive data storage and computation tasks to a cloud server. Although it creates many benefits, data outsourcing causes some security challenges for clients. In th
Externí odkaz:
https://doaj.org/article/0be5952308a7455ca76d2b8cf55f0fa0
Autor:
Xi Guo, Xiaochun Yang
Publikováno v:
IEEE Access, Vol 7, Pp 30285-30301 (2019)
Although the direction aspect is as important as the distance aspect when retrieving spatial objects, the studies of direction-aware queries are limited. The direction-based surrounder query cannot guarantee good directional diversity. In this paper,
Externí odkaz:
https://doaj.org/article/58321c92cb8345218684d4e35ae736f5
Publikováno v:
Sensors, Vol 22, Iss 5, p 1748 (2022)
The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types. However, processing such datasets is often challenging due to high-dimensional sensor data ge
Externí odkaz:
https://doaj.org/article/f43fe11db6bc4bda807e0f054bf72e15
Publikováno v:
Dianxin kexue, Vol 34, Pp 104-115 (2018)
In the era of big data,data shows the characteristics of high dimension,large amount and rapid growth.How to efficiently retrieve similar data from a large amount of complex data is a research hotspot.By mapping data to binary codes,the hashing techn
Externí odkaz:
https://doaj.org/article/e233f6bef8634a5ba95e0d4f82525dc3
Akademický článek
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Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10803 (2021)
Mass multimedia data with geographical information (geo-multimedia) are collected and stored on the Internet due to the wide application of location-based services (LBS). How to find the high-level semantic relationship between geo-multimedia data an
Externí odkaz:
https://doaj.org/article/ca3604f6b3c54fdfb7dee462a3b5ae05