Results 21 to 30 of about 1,699,128 (261)
Multi-View Representation Learning via Dual Optimal Transportation
IEEE Access, 2021 Recently, multi-view representation learning has gained rapid growth in various fields. Most of previous multi-view learning methods rely on strong notions of distances that often provide no useful gradients in deep network training, which greatly ...
Peng Li +4 more
doaj +1 more source
Multi-View Multi-Label Learning With View-Label-Specific Features
IEEE Access, 2019 In multi-view multi-label learning, each object is represented by multiple data views, and belongs to multiple class labels simultaneously. Generally, all the data views have a contribution to the multi-label learning task, but their contributions are ...
Jun Huang +5 more
doaj +1 more source
Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation
IET Computer Vision, 2021 In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when new instances rise incrementally.
Liang Zhao +3 more
doaj +1 more source
Low‐rank constrained weighted discriminative regression for multi‐view feature learning
CAAI Transactions on Intelligence Technology, 2021 In recent years, multi‐view learning has attracted much attention in the fields of data mining, knowledge discovery and machine learning, and been widely used in classification, clustering and information retrieval, and so forth. A new supervised feature
Chao Zhang, Huaxiong Li
doaj +1 more source
Unsupervised Multi-view Learning [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Unsupervised multi-view learning is a hot research topic. The main challenge lies in how to integrate information from different views to enhance the unsupervised learning performance. In this paper, we present our research works on multi-view data clustering and multi-view network community detection respectively. The main contributions are summarized
openaire +1 more source
Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply model them with a fixed graph structure so that the overall performance inevitably degrades in complex environments.
Bing Li +6 more
openaire +2 more sources
Multi‐view learning for benign epilepsy with centrotemporal spikes
IET Computer Vision, 2019 Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan +3 more
doaj +1 more source
Multiview clustering method for view-unaligned data
Tongxin xuebao, 2022 A new challenge for multi-view learning was posed by corrupted view-correspondences.To address this issue， an effective multi-view learning method for view-unaligned data was proposed.First，to capture cross-view latent affinity in multi-view heterogenous
Ao LI +5 more
doaj +2 more sources
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
doaj +1 more source
Multi-Modal 3D Shape Clustering with Dual Contrastive Learning
Applied Sciences, 2022 3D shape clustering is developing into an important research subject with the wide applications of 3D shapes in computer vision and multimedia fields. Since 3D shapes generally take on various modalities, how to comprehensively exploit the multi-modal ...
Guoting Lin +4 more
doaj +1 more source