Multi-view information integration and propagation for occluded person re-identification
Occluded person re-identification (re-ID) presents a challenging task due to occlusion
perturbations. Although great efforts have been made to prevent the model from being …
perturbations. Although great efforts have been made to prevent the model from being …
Multi-view class incremental learning
Multi-view learning (MVL) has gained great success in integrating information from multiple
perspectives of a dataset to improve downstream task performance. To make MVL methods …
perspectives of a dataset to improve downstream task performance. To make MVL methods …
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion
To tackle the high-dimensional data with multiple representations, multi-view unsupervised
feature selection has emerged as a significant learning paradigm. However, previous …
feature selection has emerged as a significant learning paradigm. However, previous …
Low-rank tensor based smooth representation learning for multi-view unsupervised feature selection
C Wang, P Song, M Duan, S Zhou, Y Cheng - Knowledge-Based Systems, 2025 - Elsevier
As an effective dimension reduction method, multi-view unsupervised feature selection
(MUFS) has attracted much attention in recent years. However, most existing MUFS methods …
(MUFS) has attracted much attention in recent years. However, most existing MUFS methods …
Adaptive multi-view subspace learning based on distributed optimization
As the rapid development of Internet of Things (IoT), information is collected from different
sensors and stored in distributed devices which can be regarded as the multi-view data …
sensors and stored in distributed devices which can be regarded as the multi-view data …
Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
L Wei, S Song - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
Multiview subspace clustering (MVSC) has attracted an increasing amount of attention in
recent years. Most existing MVSC methods first collect complementary information from …
recent years. Most existing MVSC methods first collect complementary information from …
Multi-View Clustering by Inter-cluster Connectivity Guided Reward
Multi-view clustering has been widely explored for its effectiveness in harmonizing
heterogeneity along with consistency in different views of data. Despite the significant …
heterogeneity along with consistency in different views of data. Despite the significant …