Results 11 to 20 of about 5,224,308 (308)
High-order multi-view clustering for generic data
Information Fusion, 2023 Graph-based multi-view clustering has achieved better performance than most non-graph approaches. However, in many real-world scenarios, the graph structure of data is not given or the quality of initial graph is poor. Additionally, existing methods largely neglect the high-order neighborhood information that characterizes complex intrinsic ...
Erlin Pan, Zhao Kang
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Multi-View Data Generation Without View Supervision [PDF]
, 2018 The development of high-dimensional generative models has recently gained a great surge of interest with the introduction of variational auto-encoders and generative adversarial neural networks.
Artières, Thierry +2 more
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Multi-view Clustering: A Survey
Big Data Mining and Analytics, 2018 In the big data era, the data are generated from different sources or observed from different views. These data are referred to as multi-view data. Unleashing the power of knowledge in multi-view data is very important in big data mining and analysis ...
Yan Yang, Hao Wang
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Unified Constraint Propagation on Multi-View Data
Proceedings of the AAAI Conference on Artificial Intelligence, 2013 This paper presents a unified framework for intra-view and inter-view constraint propagation on multi-view data. Pairwise constraint propagation has been studied extensively, where each pairwise constraint is defined over a pair of data points from a single view.
Zhiwu Lu, Yuxin Peng
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IEEE Access, 2022 Clustering of multi-view data has got broad consideration of the researchers. Multi-view data is composed through different domain which shows the consistent and complementary behavior.
Mohammad Ahmar Khan +8 more
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Multi-view kernel consensus for data analysis [PDF]
Applied and Computational Harmonic Analysis, 2020 The input data features set for many data driven tasks is high-dimensional while the intrinsic dimension of the data is low. Data analysis methods aim to uncover the underlying low dimensional structure imposed by the low dimensional hidden parameters by utilizing distance metrics that consider the set of attributes as a single monolithic set. However,
Salhov, Moshe +5 more
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Jointly Imputing Multi-View Data with Optimal Transport
AAAI Conference on Artificial Intelligence, 2023 The multi-view data with incomplete information hinder the effective data analysis. Existing multi-view imputation methods that learn the mapping between complete view and completely missing view are not able to deal with the common multi-view data with ...
Yangyang Wu +3 more
semanticscholar +1 more source
Axioms, 2023 The generation of unprecedented amounts of data brings new challenges in data management, but also an opportunity to accelerate the identification of processes of multiple science disciplines.
Deniz Akdemir +2 more
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Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
International Joint Conference on Artificial Intelligence, 2021 Incomplete multi-view clustering aims to cluster samples with missing views, which has drawn more and more research interest. Although several methods have been developed for incomplete multi-view clustering, they fail to extract and exploit the ...
Zhe Xue +5 more
semanticscholar +1 more source
Multi-view Data Capture using Edge-synchronised Mobiles [PDF]
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020 Multi-view data capture permits free-viewpoint video (FVV) content creation. To this end, several users must capture video streams, calibrated in both time and pose, framing the same object/scene, from different viewpoints. New-generation network architectures (e.g.
Bortolon, Matteo +3 more
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