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Tensor rank decomposition
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1	Supplementary Material: Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors In our MGP based CP decomposition, the tensor element xi , with i = [i1 , i2 , · · · , iK ] its K-dimensional index vecto Add to Reading List Source URL: people.duke.edu - Date: 2014-05-13 11:37:32
2	GEOMETRY OF FEASIBLE SPACES OF TENSORS A Dissertation by YANG QI Add to Reading List Source URL: www.math.tamu.edu Language: English - Date: 2013-07-24 16:18:51 Algebra Mathematics Tensors Binary operations Multilinear algebra Linear algebra Tensor Symmetric tensor Segre embedding Rank Higher-order singular value decomposition
3	CS168: The Modern Algorithmic Toolbox Lecture #10: Tensors, and Low-Rank Tensor Recovery Tim Roughgarden & Gregory Valiant April 27, 2016 Last lecture discussed singular value decomposition (SVD), and we saw how such dec Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Linear algebra Matrix theory Matrices Binary operations Numerical linear algebra Tensor Rank Higher-order singular value decomposition Singular value decomposition Matrix Outer product Eigenvalues and eigenvectors
4	Walk’n’Merge: A Scalable Algorithm for Boolean Tensor Factorization D´ora Erd˝os Pauli Miettinen Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2013-12-06 18:36:48 Multilinear algebra Tensors Multivariate statistics Matrix theory Linear algebra Higher-order singular value decomposition Outer product Matrix decomposition Rank Mathematics of general relativity
5	1 Tensor Completion for Estimating Missing Values in Visual Data Ji Liu, Przemyslaw Musialski, Peter Wonka, and Jieping Ye Abstract—In this paper we propose an algorithm to estimate missing values in tensors of visual Add to Reading List Source URL: peterwonka.net Language: English - Date: 2012-05-28 11:12:59 Linear algebra Matrix theory Tensors Mathematical optimization Numerical linear algebra Matrix completion Tensor rank decomposition Low-rank approximation Singular value decomposition Matrix Tensor Semidefinite programming
6	From SIAM News, Volume 39, Number 8, OctoberBridging the Gap Between Numerical Linear Algebra, Theoretical Computer Science, and Data Applications By Gene H. Golub, Michael W. Mahoney, Petros Drineas, and Lek-Heng Add to Reading List Source URL: mmds-data.org Language: English - Date: 2013-11-17 17:36:47 Matrix theory Linear algebra Numerical linear algebra Multivariate statistics Multilinear algebra Higher-order singular value decomposition Non-negative matrix factorization Singular value decomposition Tensor Matrix Rank Orthogonal matrix
7	Accelerated Online Low-Rank Tensor Learning for Multivariate Spatio-Temporal Streams Rose Yu Dehua Cheng Yan Liu Department of Computer Science, University of Southern California Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:50 Algebra Linear algebra Mathematics Multilinear algebra Multivariate statistics Matrix theory Tensors Higher-order singular value decomposition Singular value decomposition Rank Kronecker product Matrix
8	Learning Overcomplete Latent Variable Models through Tensor Decompositions Add to Reading List Source URL: spectrallearning.github.io Language: English - Date: 2014-07-01 18:01:34 Linear algebra Rank Ricci decomposition Algebra Tensors Mathematics
9	Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities Miguel Araujo∗ CMU/University of Porto Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-02-15 14:57:43 Tensors Binary operations Tensor Singular value decomposition Rank Outer product Principal component analysis Tensor field Mathematics of general relativity Algebra Linear algebra Mathematics
10	Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates arXiv:1402.5180v4 [cs.LG] 4 MarAnima Anandkumar∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-04 20:49:37 Multilinear algebra Binary operations Algebras Symmetric tensor Symmetric algebra Singular value decomposition Rank Outer product Multilinear subspace learning Linear algebra Mathematics Tensors