The multi-view approaches outlined in this paper can be employed for addressing problems in software engineering that can be encoded in terms of a learning problem, such as software bug prediction and feature location. 展开 关键词: Computer Science - Software Engineering ...
其次,我们还回顾了传统方法的深度多视点扩展,如深度多视点MF、深度多视点谱学习和深度多视点IB,这些方法从未被研究过。 2. Multi-view Learning Methods in The Deep Learning Scope 2.4. Multi-view graph neural networks 图神经网络(GNN)[73]在学习表示方面协调了图与深层模型交互建模的表达能力,并因其对图结构...
machine-learningrepresentation-learningmultimodal-learningmulti-view-learningcontrastive-learning UpdatedMar 17, 2023 Python Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics) machine-learningdeep-learningtensorflowradardatasetsleepmulti-view-learningwireless-sensorpose-tra...
Learning from multi-view data is a challenging research topic in pattern recognition. For recognition task, most multi-view learning methods separately learn multi-view dimensionality reduction (MvDR) and classification models. Thus, the connection between the two models has not been well studied. In...
Over recent decades have witnessed considerable progress in whether multi-task learning or multi-view learning, but the situation that considers both learn
Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biomedical discoverie
In Section 3, the advancements of MVL mechanism are introduced when traditional learning methods meet deep learning models, such as deep multi-view matrix factorization and deep multi-view information bottleneck. In Section 4, we presents several interesting applications of MVL in different domains. ...
Few-Shot Food Recognition via Multi-View Representation Learning This article considers the problem of few-shot learning for food recognition. Automatic food recognition can support various applications, e.g., dietary as... S Jiang,W Min,Y Lv,... - 《Acm Transactions on Multimedia Computing Com...
Finally, a Kullback-Liebler (KL) divergence based objective is developed to constrain the fused embedding for clustering friendly representation learning and to conduct clustering. 关键词 多视图聚类 对抗视图嵌入 自适应视图融合 聚类友好的表示学习 ...
We further discuss the relationships between MVC and multi-view representation, ensemble clustering, multi-task clustering, multi-view supervised and semi-supervised learning. Several representative real-world applications are elaborated. To promote future development of MVC, we envision several open ...