Pseudolabel‐guided multiview consensus graph learning for semisupervised classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22958
Abstract: Semisupervised multiview learning gains extensive research attention due to its strong capability to utilize the heterogeneous features and the label information of a few labeled samples. However, the supervision information is not well utilized in… read more here.
Keywords: information; consensus; consensus graph; multiview ... See more keywords
Complementary pseudolabel based on global-and-channel information for unsupervised person reidentification
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023030
Abstract: Abstract. Unsupervised person reidentification (re-ID) is designed to deal with the problem that in industrial application scenarios, the consistent features of the same person cannot be fully mined due to the lack of annotated information… read more here.
Keywords: information; person reidentification; person; unsupervised person ... See more keywords
Application Research for Fusion Model of Pseudolabel and Cross Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9986611
Abstract: Datasets usually suffer from supervised information missing and weak generalization ability in deep convolution neural network. In this paper, pseudolabel (PL) of Weakly Supervised Learning (WSL) was used to address the problem of supervised information… read more here.
Keywords: cross network; network; fusion model; pseudolabel ... See more keywords