Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3109151
Abstract: Recent researches on multiview learning have received widespread attention due to the increasing generalization of multiview data. As an effective probabilistic model, random walk has also shown encouraging performance in various fields. To further exploit… read more here.
Keywords: semisupervised classification; multiview; clustering semisupervised; random walk ... See more keywords
Absent Multiview Semisupervised Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3241171
Abstract: With the advent of vast data collection ways, data are often with multiple modalities or coming from multiple sources. Traditional multiview learning often assumes that each example of data appears in all views. However, this… read more here.
Keywords: semisupervised classification; absent multiview; classification; multiview semisupervised ... See more keywords
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2737827
Abstract: Self-labeled technique, a paradigm of semisupervised classification (SSC), is highly effective in alleviating the shortage of labeled data in classification tasks via an iterative self-labeling process. Although existing self-labeled SSC models show great prospect in… read more here.
Keywords: semisupervised classification; framework; self; self labeled ... See more keywords