Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Houjie Li"'
Publikováno v:
IEEE Access, Vol 9, Pp 135742-135754 (2021)
Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images. In the past decade, the nearest neighbor model-based AIA (Automatic image a
Externí odkaz:
https://doaj.org/article/b9617f184d624ee0a695d918d13dad4e
Publikováno v:
IEEE Access, Vol 8, Pp 210695-210708 (2020)
Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learnin
Externí odkaz:
https://doaj.org/article/b53e43f0dfac448ca950b194f0ebe074
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0191367 (2018)
Motion blur appearing in traffic sign images may lead to poor recognition results, and therefore it is of great significance to study how to deblur the images. In this paper, a novel method for deblurring traffic sign is proposed based on exemplars a
Externí odkaz:
https://doaj.org/article/b2018f88cd8e42d5b5a07a396fe65d86
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 16:287-297
The ambiguity of training samples in the partial label learning framework makes it difficult for us to develop learning algorithms and most of the existing algorithms are proposed based on the traditional shallow machine learn- ing models, such as de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47e07b5027ac2596536caca77e83e1a7
https://doi.org/10.46300/9106.2022.16.35
https://doi.org/10.46300/9106.2022.16.35
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 16:215-223
Partial label learning is a new weak- ly supervised learning framework. In this frame- work, the real category label of a training sample is usually concealed in a set of candidate labels, which will lead to lower accuracy of learning al- gorithms co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e27ba7cada711b1559c7961f3e76537c
https://doi.org/10.46300/9106.2022.16.26
https://doi.org/10.46300/9106.2022.16.26
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 16:191-201
The ever-increasing size of images has made automatic image annotation one of the most important tasks in the fields of machine learning and computer vision. Despite continuous efforts in inventing new annotation algorithms and new models, results of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5253ea9087fd5250e1905bbbf251a4ae
https://doi.org/10.46300/9106.2022.16.23
https://doi.org/10.46300/9106.2022.16.23
Publikováno v:
Environmental Science: Atmospheres. 2:891-920
During the last several decades, numerous researchers have provided evidence that physical and biogeochemical processes at air-snow/ice-water interfaces are very complex, and, in many cases, interlinked.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750f94bce500ffed2ef3451b067c7b66
https://doi.org/10.1039/d2ea00067a
https://doi.org/10.1039/d2ea00067a
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 15:677-689
Face tracking is an importance task in many computer vision based augment reality systems. Correlation filters (CFs) have been applied with great success to several computer vision problems including object detection, classification and tracking, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::250105ff8eac8d20c0d810dd2c5b87db
https://doi.org/10.46300/9106.2021.15.76
https://doi.org/10.46300/9106.2021.15.76
Publikováno v:
IEEE Access. 9:135742-135754
Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images. In the past decade, the nearest neighbor model-based AIA (Automatic image a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd57578fb91420b0da1c4f4e8062e8ae
https://doi.org/10.1109/access.2021.3117349
https://doi.org/10.1109/access.2021.3117349
Autor:
Yan Dong, Yanrong Chen, Yijie Wang, Xiang Zhao, Ruiyang Zi, Jie Hao, Qiong Ding, Haoran Jiang, Xuesong Wang, Fanghao Lu, Houjie Liang, Zhihao Wei, Jianjun Li
Publikováno v:
Genes and Diseases, Vol 11, Iss 6, Pp 101330- (2024)
Resistance to sorafenib, an effective first-line treatment for advanced hepatocellular carcinoma (HCC), greatly compromised the prognosis of patients. The extracellular matrix is one of the most abundant components of the tumor microenvironment. Beyo
Externí odkaz:
https://doaj.org/article/ff565c9ac4d347829ab0fe804f2de763