Multi-Hypergraph Learning for Incomplete Multimodality Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2732287
Abstract: Multi-modality data convey complementary information that can be used to improve the accuracy of prediction models in disease diagnosis. However, effectively integrating multi-modality data remains a challenging problem, especially when the data are incomplete. For… read more here.
Keywords: multimodality data; learning incomplete; incomplete multimodality; multi hypergraph ... See more keywords
View-Consistency Learning for Incomplete Multiview Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3187562
Abstract: In this article, we present a novel general framework for incomplete multi-view clustering by integrating graph learning and spectral clustering. In our model, a tensor low-rank constraint are introduced to learn a stable low-dimensional representation,… read more here.
Keywords: consistency; view; consistency learning; incomplete multiview ... See more keywords