Results 51 to 60 of about 1,029,862 (299)
Exploring Dynamic Hierarchical Fusion for Multi-View Clustering
IEEE AccessMulti-view clustering is effective at uncovering the latent structures within different views or modalities. However, existing approaches often oversimplify the problem by treating the contribution and granularity of information from all views as uniform,
Zhenshan Chen +6 more
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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
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Multi-view Discriminative Sequential Learning [PDF]
, 2005 Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other tasks of discrimination. However, semi-supervised learning mechanisms that utilize inexpensive unlabeled sequences in addition to few labeled sequences – such as the Baum-Welch ...
Ulf Brefeld +2 more
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A Novel Adaptive Multi-View Non-Negative Graph Semi-Supervised ELM
IEEE Access, 2020 This paper represents a semi-supervised learning framework, which integrates multi-view learning, extreme learning machine (ELM) and graph-based semi-supervised learning.
Feng Zheng +4 more
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Fusing Local and Global Information for One-Step Multi-View Subspace Clustering
Applied Sciences, 2022 Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan +3 more
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Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning [PDF]
, 2014 Multi-view feature learning is an attractive research topic with great practical success. Canonical correlation analysis (CCA) has become an important technique in multi-view learning, since it can fully utilize the inter-view correlation. In this paper,
Yang, Jing-Yu +5 more
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A Novel Information-based Multi-view Representation Learning
Journal of Applied Science and EngineeringMulti-view representation learning methods achieve great performance in various domains via fusing complementary and consistent information of views, which have gained great attention. However, there still exist two issues in current methods.
Hongdan Wang, Jian Zhang
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Multi-view class incremental learning
Information FusionMulti-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 more practical in an open-ended environment, this paper investigates a novel paradigm called multi-view class incremental learning (MVCIL), where a single model incrementally ...
Depeng Li 0001 +5 more
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Experiments with multi-view multi-instance learning for supervised image classification [PDF]
, 2011 In this paper we empirically investigate the benefits of multi-view multi-instance (MVMI) learning for supervised image classification. In multi-instance learning, examples for learning contain bags of feature vectors and thus data from different views ...
Mayo, Michael, Frank, Eibe
core
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source