Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Osolo Ian Raymond"'
Publikováno v:
IEEE Access, Vol 7, Pp 11209-11221 (2019)
With the rapid growth of multimedia data (e.g., image, audio, and video) on the Web, the learning-based hashing techniques, such as deep supervised hashing, have proven to be very efficient for large-scale multimedia search. The recent successes seen
Externí odkaz:
https://doaj.org/article/38135cdd5d0f48e98108bdd0fbad3e2e
Publikováno v:
IEEE Access, Vol 7, Pp 72684-72695 (2019)
Due to its fast retrieval and storage efficiency capabilities, hashing has been widely used in nearest neighbor retrieval tasks. By using deep learning-based techniques, hashing can outperform non-learning-based hashing technique in many applications
Externí odkaz:
https://doaj.org/article/1e9a94a181ab447c9083107845f3a049
Publikováno v:
IEEE Access, Vol 6, Pp 56750-56764 (2018)
Deep convolutional neural networks (DCNNs) are currently popular in human activity recognition (HAR) applications. However, in the face of modern artificial intelligence sensor-based games, many research achievements cannot be practically applied on
Externí odkaz:
https://doaj.org/article/9ef3e86584fa452782bb411e431cfd08
Publikováno v:
Information, Vol 10, Iss 6, p 203 (2019)
Human activity recognition (HAR) using deep neural networks has become a hot topic in human−computer interaction. Machines can effectively identify human naturalistic activities by learning from a large collection of sensor data. Activity recogniti
Externí odkaz:
https://doaj.org/article/517b60997d0544f7be0c47b8419de021
Publikováno v:
Neurocomputing. 412:262-275
In recent years, Hashing has become a popular technique used to support large-scale image retrieval, due to its significantly reduced storage, high search speed and capability of mapping high dimensional original features into compact similarity-pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b34d7e86505d7cfc412bf80fbe48a6d
https://doi.org/10.1016/j.neucom.2020.06.036
https://doi.org/10.1016/j.neucom.2020.06.036
Publikováno v:
IEEE Access, Vol 7, Pp 11209-11221 (2019)
With the rapid growth of multimedia data (e.g., image, audio and video etc.) on the web, learning-based hashing techniques such as Deep Supervised Hashing (DSH) have proven to be very efficient for large-scale multimedia search. The recent successes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b276171fb6b642d663c04f0aa144372
https://doi.org/10.1109/access.2019.2891894
https://doi.org/10.1109/access.2019.2891894
Publikováno v:
IEEE Access, Vol 6, Pp 56750-56764 (2018)
Deep Convolutional Neural Networks (DCNNs) are currently popular in human activity recognition applications. However, in the face of modern artificial intelligence sensor-based games, many research achievements cannot be practically applied on portab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec53bca4f1e1774e157fe842add227ae
https://ieeexplore.ieee.org/document/8478282/
https://ieeexplore.ieee.org/document/8478282/
Publikováno v:
Knowledge-Based Systems. 217:106818
Hashing technology has been widely used in approximate nearest neighbor search algorithms for large-scale cross-modal retrieval due to its significantly reduced storage and high-speed search capabilities. However, most existing supervised cross-modal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cfa6f1c440f3e9fc4f1de6882982ee0
https://doi.org/10.1016/j.knosys.2021.106818
https://doi.org/10.1016/j.knosys.2021.106818