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
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2977133
Abstract: Multilabel learning focuses on assigning instances with different labels. In essence, the multilabel learning aims at learning a predictive function from feature space to a label space. The predictive function learning procedure can be regarded… read more here.
Keywords: feature selection; feature; semantic gap; multilabel learning ... See more keywords
Degradation State Partition and Compound Fault Diagnosis of Rolling Bearing Based on Personalized Multilabel Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3091504
Abstract: The prognostic and health management (PHM) of rolling bearings has been a popular research area. Since bearing fault is inevitable during degradation, how to improve the PHM performance based on both degradation states and fault… read more here.
Keywords: multilabel; multilabel learning; degradation; phm ... See more keywords
GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3109518
Abstract: Semantic segmentation is a fundamental task in computer vision, and it has various applications in fields such as robotic sensing, video surveillance, and autonomous driving. A major research topic in urban road semantic segmentation is… read more here.
Keywords: learning network; feature; semantic segmentation; multilabel learning ... See more keywords
Topic-Based Algorithm for Multilabel Learning With Missing Labels
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2874434
Abstract: In multilabel learning (MLL), each instance can be assigned by several concepts simultaneously from a class dictionary. Usually, labels in the class dictionary have semantic correlations and semantic hierarchy. Instances can be categorized into different… read more here.
Keywords: label; wise; missing labels; topic ... See more keywords