Results 21 to 30 of about 5,224,308 (308)
Tsinghua Science and Technology, 2021 In recent years, multi-view clustering research has attracted considerable attention because of the rapidly growing demand for unsupervised analysis of multi-view data in practical applications.
Jie Hu, Yi Pan, Tianrui Li, Yan Yang
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Overview of Multi-view Dimension Reduction Algorithm Based on Canonical Correlation Analysis [PDF]
Jisuanji gongcheng, 2020 With the development of data acquisition technology and the diversification of data obtaining approaches,the obtained data often have multiple views,so the multi-view data are formed.To study the information contained in these data becomes an research ...
ZHANG Enhao, CHEN Xiaohong, LIU Hong, ZHU Yulian
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Analysis of Malware Communities Using Multi-Modal Features
IEEE Access, 2020 Identifying possible threat actors from samples of malware remains an active area of research with important ramifications for cybersecruity practitioners. The unsupervised identification and characterization of malware samples has been primarily treated
Iain J. Cruickshank, Kathleen M. Carley
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Missing data in multi-omics integration: Recent advances through artificial intelligence
Frontiers in Artificial Intelligence, 2023 Biological systems function through complex interactions between various ‘omics (biomolecules), and a more complete understanding of these systems is only possible through an integrated, multi-omic perspective.
Javier E. Flores +5 more
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On the use of ensemble method for multi view textual data
Journal of Information and Telecommunication, 2020 Nowadays, trends detection is an important task on social media to determine trends that are being discussed the most on a social platform. One of the main challenges of this task is the processing of unstructured textual data which has different ...
Maha Fraj +2 more
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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
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Double-Matched Matrix Decomposition for Multi-View Data
Journal of Computational and Graphical Statistics, 2022 Accepted to Journal of Computational and Graphical ...
Dongbang Yuan, Irina Gaynanova
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MVDA: a multi-view genomic data integration methodology [PDF]
BMC Bioinformatics, 2015 Multiple high-throughput molecular profiling by omics technologies can be collected for the same individuals. Combining these data, rather than exploiting them separately, can significantly increase the power of clinically relevant patients subclassifications.We propose a multi-view approach in which the information from different data layers (views ...
SERRA, ANGELA +5 more
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Multi-View Spectral Clustering With Incomplete Graphs
IEEE Access, 2020 Traditional multi-view learning usually assumes each instance appears in all views. However, in real-world applications, it is not an uncommon case that a number of instances suffer from some view samples missing.
Wenzhang Zhuge +4 more
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Multi Locus View: an extensible web-based tool for the analysis of genomic data.
Communications Biology, 2021 Martin Sergeant et al. develop a web-based tool called Multi Locus View that allows researchers to interact with genomics datasets at multiple scales. Users can browse, annotate, combine or analyse raw data on this interface.
Martin J. Sergeant +5 more
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