Canonical correlation analysis (CCA) is a useful technique for measuring relationship between two sets of vector data. For paired tensor data sets,.
Canonical correlation analysis (CCA) is a useful technique for measuring relationship between two sets of vector data. For paired tensor data sets, ...
Abstract: Canonical correlation analysis (CCA) is a useful technique for measuring relationship between two sets of vector data. For paired tensor data sets, we ...
Bibliographic details on Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection.
Proceedings of the Twenty-Third International Joint Conference on ...
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... Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection ... Tensor completion via multi-shared-modes canonical correlation analysis.
Canonical correlation analysis (CCA) is a useful technique for measuring relationship between two sets of vector data. For paired tensor data sets, we propose a ...
[PDF] Learning Canonical Correlations 1 Introduction - DiVA portal
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Abstract. This paper presents a novel learning algorithm that finds the linear combination of one set of multi- dimensional variates that is the best ...
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Sep 30, 2019 · Learning canonical correlations of paired tensor sets via tensor-to-vector projection, Proceedings of the Twenty-Third International Joint.
Feb 10, 2023 · This paper presents Tensor GCCA (TGCCA), a new method for analyzing higher-order tensors with canonical vectors admitting an orthogonal rank-R ...
We have proposed Tensor Generalized Canonical Correlation Analysis as a general framework for jointly analyzing several higher-order tensors and matrices. TGCCA ...
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