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Joint analysis of data from multiple sources has the potential to improve our understanding of the underlying structures in complex data sets.
The expression of a tensor or a polyadic as a sum of products
F. L. Hitchcock · 1927
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Relations between two sets of variates
H. Hotelling · 1936
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Simultaneous factor analysis of several gramian matrices
J. Levin · 1966
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Canonical Analysis of Several Sets of Variables
J. R. Kettenring · 1969
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Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition
J. D. Carroll and J. J. Chang · 1970
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Foundations of the PARAFAC procedure: Models and conditions for an “explanatory" multi-modal factor analysis
R. A. Harshman · 1970
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Multiple group principal component analysis and population differentiation
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Tensor rank is NP-complete
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Line search algorithms with guaranteed sufficient decrease
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Analysis of multiblock and hierarchical PCA and PLS models
J. A. Westerhuis, T. Kourti, and J. F. Macgregor · 1998
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Collective principal component analysis from distributed, heterogeneous data
H. Kargupta, W. Huang, K. Sivakumar, B.-H. Park, and S. Wang · 2000
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Multiway multiblock component and covariates regression models
A. Smilde, J. A. Westerhuis, and R. Boque · 2000
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Gsvd-based optimal filtering for single and multimicrophone speech enhancement
S. Doclo and M. Moonen · 2002
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Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms
O. Alter, P. O. Brown, and D. Botstein · 2003
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Multi-Way Analysis: Applications in the Chemical Sciences
A. Smilde, R. Bro, and P. Geladi · 2004
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A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation
A. Ziehe, P. Laskov, G. Nolte, and K.-R. Müller · 2004
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Damped Newton algorithms for matrix factorization with missing data
A. M. Buchanan and A. W. Fitzgibbon · 2005
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Unsupervised learning on k-partite graphs
B. Long, X. Wu, Z. M. Zhang, and P. S. Yu · 2006
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Spectral clustering for multi-type relational data
Unsupervised multiway data analysis: A literature survey
E. Acar and B. Yener · 2009
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The power of convex relaxation: Near-optimal matrix completion
E. J. Candes and T. Tao · 2009
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Tensor decompositions and applications
T. G. Kolda and B. W. Bader · 2009
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Matrix factorization techniques for recommender systems
Y. Koren, R. Bell, and C. Volinsky · 2009
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Metafac: community discovery via relational hypergraph factorization
Y.-R. Lin, J. Sun, P. Castro, R. Konuru, H. Sundaram, and A. Kelliher · 2009
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Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes
T. Wilderjans, E. Ceulemans, and I. V. Mechelen · 2009
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Numerical Optimization
J. Nocedal and S. J. Wright · 2006
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A comparison of algorithms for fitting the PARAFAC model
G. Tomasi and R. Bro · 2006
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Combining gene expression and transcription factor regulation data using simultaneous nonnegative matrix factorization
L. Badea · 2007
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Multi-way clustering on relation graphs
A. Banerjee, S. Basu, and S. Merugu · 2007
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Extracting gene expression profiles common to colon and pancreatic adenocarcinoma using simultaneous nonnegative matrix factorization
L. Badea · 2008
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Relational learning via collective matrix factorization
A. P. Singh and G. J. Gordon · 2008
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Poblano v1.0: A Matlab toolbox for gradient-based optimization
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A generic linked-mode decomposition model for data fusion
I. V. Mechelen and A. K. Smilde · 2010
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Tags meet ratings: Improving collaborative filtering with tag-based neighborhood method
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Collaborative filtering meets mobile recommendation: A user-centered approach
V. W. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang · 2010
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Scalable tensor factorizations for incomplete data
E. Acar, D. Dunlavy, T. Kolda, and M. Morup · 2011
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A scalable optimization approach for fitting canonical tensor decompositions
E. Acar, D. M. Dunlavy, and T. G. Kolda · 2011
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