Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3142154
Abstract: Multiview multilabel (MVML) learning deals with objects with diverse feature vectors and rich semantics. Existing methods are built on a shared latent space among multiple views. However, they do not well capture semantic consistency and… read more here.
Keywords: multiview multilabel; personalized relation; refinement network; relation refinement ... See more keywords
Align While Fusion: A Generalized Nonaligned Multiview Multilabel Classification Method
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3387577
Abstract: In the task of multiview multilabel (MVML) classification, each object is described by several heterogeneous view features and annotated with multiple relevant labels. Existing MVML methods usually assume that these heterogeneous features are strictly view-aligned,… read more here.
Keywords: classification; fusion; multiview multilabel; view ... See more keywords