Zobrazeno 1 - 10
of 14
pro vyhledávání: '"feature transformations"'
Akademický článek
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Autor:
Yin, Tao, Lv, Zhihan
Publikováno v:
Mobile Networks and Applications. 27:2515-2523
In order to effectively extract the feature points of mobile network animation images and accurately reflect the main content of the video, an optimization method to extract the feature points of key frame images of mobile network animation is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55dabc670326469ceb573e2f1fc655fa
https://doi.org/10.1007/s11036-022-02070-x
https://doi.org/10.1007/s11036-022-02070-x
Autor:
Husam A. H. Al-Najjar, Biswajeet Pradhan, Bahareh Kalantar, Maher Ibrahim Sameen, M. Santosh, Abdullah Alamri
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3281 (2021)
Landslide susceptibility modeling, an essential approach to mitigate natural disasters, has witnessed considerable improvement following advances in machine learning (ML) techniques. However, in most of the previous studies, the distribution of input
Externí odkaz:
https://doaj.org/article/e21f445bdba943e9a2dc31070015afa4
Autor:
Nieto, Stephan
Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. This project aims to invest
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327975
Autor:
Nieto, Stephan
Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. This project aims to invest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::7f6042853a011b28e0cbd178aba827ed
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327975
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327975
Autor:
Raju Shrestha
Publikováno v:
ICCMS
Image registration is a well-known problem that arises in many applications in the fields of computer vision, remote sensing, and medical imaging. Many registration methods have been proposed in the literature. However, no single method works well in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a655f42bbfc77ecbfa10f93792d2cc
https://hdl.handle.net/10642/9436
https://hdl.handle.net/10642/9436
Autor:
M. Santosh, Maher Ibrahim Sameen, Husam Abdulrasool H. Al-Najjar, Biswajeet Pradhan, Abdullah Al-Amri, Bahareh Kalantar
Publikováno v:
Remote Sensing, Vol 13, Iss 3281, p 3281 (2021)
Remote Sensing; Volume 13; Issue 16; Pages: 3281
Remote Sensing; Volume 13; Issue 16; Pages: 3281
Landslide susceptibility modeling, an essential approach to mitigate natural disasters, has witnessed considerable improvement following advances in machine learning (ML) techniques. However, in most of the previous studies, the distribution of input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf79ffdd4a164d5f3bdcc47c3f366bf
https://doi.org/10.3390/rs13163281
https://doi.org/10.3390/rs13163281
Akademický článek
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Conference
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