Adaptive Hypergraph Regularized Multilayer Sparse Tensor Factorization for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3241115
Abstract: Hyperspectral unmixing with tensor models has received great attention in recent years. A tensor-based decomposition method can effectively represent the structural feature of hyperspectral images; however, the obtained results may be physically uninterpretable. To overcome… read more here.
Keywords: tensor factorization; tensor; adaptive hypergraph; hyperspectral unmixing ... See more keywords
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3108192
Abstract: The embedded representation and clustering tasks both play important roles in relational data analysis and mining. Traditional methods mainly employ graph structure to describe relational data, but intuitive pairwise connections among nodes are insufficient to… read more here.
Keywords: auto encoder; adaptive hypergraph; high order; relational data ... See more keywords
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2909860
Abstract: Multilabel image annotation attracts a lot of research interest due to its practicability in multimedia and computer vision fields, while the need for a large amount of labeled training data to achieve promising performance makes… read more here.
Keywords: adaptive hypergraph; hypergraph embedded; image annotation; annotation ... See more keywords