Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Daohui Ge"'
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background Piwi-interacting RNAs (piRNAs) have been proven to be closely associated with human diseases. The identification of the potential associations between piRNA and disease is of great significance for complex diseases. Traditional
Externí odkaz:
https://doaj.org/article/303a28ddfe934af89f8ab02eb6d6f716
Publikováno v:
IEEE Access, Vol 7, Pp 37181-37191 (2019)
When misalignment, deformation, and tracking failures occur, the appearance of the target tends to change significantly. How to effectively learn the change of target's appearance is an essential problem in visual tracking. Recently, most recent trac
Externí odkaz:
https://doaj.org/article/91df2025b5a8492a9fc205d36ba62e00
Publikováno v:
IEEE Access, Vol 6, Pp 52598-52606 (2018)
Standard classification tasks have already achieved good results in computer vision. However, the task of Architectural style classification yet faces many challenges, since the rich inter-class relationships between different styles may disturb the
Externí odkaz:
https://doaj.org/article/181f4b8da2164eb1b4a982ba304bf65b
Publikováno v:
IEEE Transactions on Multimedia. :1-12
Background: In the genome-wide association study, the interactions of single nucleotide polymorphisms (SNPs) play an important role in revealing the genetic mechanism of complex diseases, and such interaction is called epistasis or epistatic interact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd0ec73b599e6d327e801410211cd8f9
https://doi.org/10.21203/rs.3.rs-2599069/v1
https://doi.org/10.21203/rs.3.rs-2599069/v1
Publikováno v:
2022 4th International Conference on Data Intelligence and Security (ICDIS).
Publikováno v:
IEEE Access, Vol 7, Pp 37181-37191 (2019)
When misalignment, deformation, and tracking failures occur, the appearance of the target tends to change significantly. How to effectively learn the change of target's appearance is an essential problem in visual tracking. Recently, most recent trac
Publikováno v:
Big Data ISBN: 9789811607042
Big Data (CCF)
Big Data (CCF)
Sufficient training data typically are required to train learning models. However, due to the expensive manual process for labeling a large number of samples, the amount of available training data is always limited (real data). Generative Adversarial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62710e9f23a9ed91daf11826887e60b6
https://doi.org/10.1007/978-981-16-0705-9_6
https://doi.org/10.1007/978-981-16-0705-9_6
Publikováno v:
IEEE Access, Vol 6, Pp 52598-52606 (2018)
Standard classification tasks have already achieved good results in computer vision. However, the task of Architectural style classification yet faces many challenges, since the rich inter-class relationships between different styles may disturb the
Publikováno v:
Electronics
Volume 10
Issue 20
Electronics, Vol 10, Iss 2488, p 2488 (2021)
Volume 10
Issue 20
Electronics, Vol 10, Iss 2488, p 2488 (2021)
Effectively learning the appearance change of a target is the key point of an online tracker. When occlusion and misalignment occur, the tracking results usually contain a great amount of background information, which heavily affects the ability of a