Research graph
References from Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations Part 2 Applications and Future Perspectives. Local targets link to admitted publications; unresolved targets remain external evidence.
Low-rank retractions: A survey and new results
10.1007/s10589-014-9714-4 · 2015 · External reference
Trust-region methods on Riemannian manifolds
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10.1007/978-3-642-40020-9_39
10.1007/978-3-642-40020-9_39 · 2013 · External reference
Newton’s method on Riemannian manifolds and a geometric model for the human spine
10.1093/imanum/22.3.359 · 2002 · External reference
Sparse non-negative generalized PCA with applications to metabolomics
10.1093/bioinformatics/btr522 · 2011 · External reference
The N-way toolbox for MATLAB
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Deep convolutional networks are hierarchical kernel machines
2015 · External reference
On the approximation of functionals of very large hermitian matrices represented as matrix product operators
2016 · External reference
Unresolved reference
2005 · External reference
Adaptive near-optimal rank tensor approximation for high-dimensional operator equations
10.1007/s10208-013-9187-3 · 2015 · External reference
Iterative methods based on soft thresholding of hierarchical tensors
2016 · External reference
Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations
10.1007/s10208-016-9317-9 · 2016 · External reference
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping
10.1145/1186785.1186794 · 2006 · External reference
MATLAB tensor toolbox version 2.6
2015 · External reference
A projection method to solve linear systems in tensor format
10.1002/nla.1818 · 2013 · External reference
A tensor-based volterra series black-box nonlinear system identification and simulation framework
2016 · External reference
Tensor train alternating linear scheme for MIMO Volterra system identification
2016 · External reference
A reduced basis approach for calculation of the Bethe—Salpeter excitation energies by using low-rank tensor factorisations
10.1080/00268976.2016.1149241 · 2016 · External reference
Tensor spectral clustering for partitioning higher-order network structures
10.1137/1.9781611974010.14 · 2015 · External reference
Iteration-complexity of gradient, subgradient and proximal point methods on Riemannian manifolds
2016 · External reference
Algorithms for numerical analysis in high dimensions
10.1137/040604959 · 2005 · External reference
Quantum machine learning
2016 · External reference
A tensor approximation method based on ideal minimal residual formulations for the solution of high dimensional problems
10.1051/m2an/2014019 · 2014 · External reference
10.1002/9781118535561
10.1002/9781118535561 · 2013 · External reference
Toeplitz matrices, algorithms and applications
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Linear support tensor machine: Pedestrian detection in thermal infrared images
2016 · External reference
Iterative hard thresholding for compressed sensing
10.1016/j.acha.2009.04.002 · 2009 · External reference
Multigrid Methods for Tensor Structured Markov Chains with Low Rank Approximation
10.1137/140994447 · 2016 · External reference
Stochastic gradient descent on Riemannian manifolds
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Unresolved reference
2011 · External reference
Manopt, a MATLAB toolbox for optimization on manifolds
2014 · External reference
Unresolved reference
2015 · External reference
Distributed optimization and statistical learning via the alternating direction method of multipliers
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Multiway calibration. Multilinear PLS
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The density matrix renormalization group for a quantum spin chain at non-zero temperature
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Computing sparse representations of multidimensional signals using Kronecker bases
10.1162/neco_a_00385 · 2013 · External reference
Stable, robust, and super—fast reconstruction of tensors using multi-way projections
10.1109/tsp.2014.2385040 · 2015 · External reference
Entanglement entropy and quantum field theory
10.1088/1742-5468/2004/06/p06002 · 2004 · External reference
Robust low-rank matrix completion by Riemannian optimization
10.1137/15m1025153 · 2016 · External reference
Enhancing sparsity by reweighted l1 minimization
10.1007/s00041-008-9045-x · 2008 · External reference
Unresolved reference
2004 · External reference
Generalized coherent states, reproducing kernels, and quantum support vector machines
2016 · External reference
Preconditioning for accelerated iteratively reweighted least squares in structured sparsity reconstruction
10.1109/cvpr.2014.353 · 2014 · External reference
Unresolved reference
2016 · External reference
On the equivalence of Restricted Boltzmann Machines and Tensor Network States
2017 · External reference
Representations of non-linear systems: the nar max model
10.1080/00207178908559683 · 1989 · External reference
Parallelized tensor train learning of polynomial classifiers
2016 · External reference
Numerical methods for high dimensional probability density function equations
10.1016/j.jcp.2015.10.030 · 2016 · External reference
DFacTo: Distributed factorization of tensors
2014 · External reference
Sparse canonical correlation analysis: New formulation and algorithm
10.1109/tpami.2013.104 · 2013 · External reference
Tensor decompositions: New concepts in brain data analysis?
2011 · External reference
Era of big data processing: A new approach via tensor networks and tensor decompositions, (invited)
2013 · External reference
Tensor networks for big data analytics and large-scale optimization problems
2014 · External reference
Multilayer nonnegative matrix factorisation
10.1049/el:20060983 · 2006 · External reference
Unresolved reference
2007 · External reference
Unresolved reference
1995 · External reference
10.1002/9780470747278
10.1002/9780470747278 · 2009 · External reference
Generalized alpha-beta divergences and their application to rubust nonnegative matrix factorization
10.3390/e13010134 · 2011 · External reference
Log-determinant divergences revisited: Alpha-beta and gamma log-det divergences
10.3390/e17052988 · 2015 · External reference
10.1561/2200000059 · 2016 · Admitted local publication
Inductive bias of deep convolutional networks through pooling geometry
2016 · External reference
Convolutional rectifier networks as generalized tensor decompositions
2016 · External reference
On the expressive power of deep learning: A tensor analysis
2016 · External reference
Blind identification of under-determined mixtures based on the characteristic function
10.1016/j.sigpro.2005.10.007 · 2006 · External reference
A Tensor-Train accelerated solver for integral equations in complex geometries
2015 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
Linear dimensionality reduction: Survey, insights, and generalizations
2015 · External reference
Hierarchical Tucker tensor optimization Applications to tensor completion
2013 · External reference
A direct formulation for sparse PCA using semidefinite programming
10.1137/050645506 · 2007 · External reference
10.1007/978-3-319-22482-4_1
10.1007/978-3-319-22482-4_1 · 2015 · External reference
Löwner-based blind signal separation of rational functions with applications
10.1109/tsp.2015.2500179 · 2016 · External reference
Unresolved reference
2016 · External reference
TT-GMRES: Solution to a linear system in the structured tensor format
10.1515/rnam-2013-0009 · 2013 · External reference
Unresolved reference
2014 · External reference
Two-level QTT-Tucker format for optimized tensor calculus
10.1137/120882597 · 2013 · External reference
Simultaneous state-time approximation of the chemical master equation using tensor product formats
10.1002/nla.1942 · 2015 · External reference
Alternating minimal energy methods for linear systems in higher dimensions. Part I: SPD systems
2013 · External reference
Alternating minimal energy methods for linear systems in higher dimensions. Part II: Faster algorithm and application to nonsymmetric systems
2013 · External reference
Alternating minimal energy methods for linear systems in higher dimensions
10.1137/140953289 · 2014 · External reference
Computation of extreme eigenvalues in higher dimensions using block tensor train format
10.1016/j.cpc.2013.12.017 · 2014 · External reference
Fast tensor product solvers for optimization problems with fractional differential equations as constraints
10.1016/j.amc.2015.09.042 · 2016 · External reference
Colloquium: Area laws for the entanglement entropy
10.1103/revmodphys.82.277 · 2010 · External reference
Asymptotic behavior of lp-based Laplacian regularization in semi-supervised learning
2016 · External reference
A new metric for probability distributions
10.1109/tit.2003.813506 · 2003 · External reference
TensorCalculus library
2012 · External reference
Algorithms for entanglement renormalization
10.1103/physrevb.79.144108 · 2009 · External reference
Tensor network renormalization yields the multiscale entanglement renormalization Ansatz
10.1103/physrevlett.115.200401 · 2015 · External reference
Entanglement renormalization and wavelets
10.1103/physrevlett.116.140403 · 2016 · External reference
Representation and design of wavelets using unitary circuits
2016 · External reference
Nonlinear system modeling and identification using Volterra-PARAFAC models
10.1002/acs.1272 · 2012 · External reference
Unresolved reference
2012 · External reference
10.1007/978-0-8176-4948-7
10.1007/978-0-8176-4948-7 · 2013 · External reference
Sparse inverse covariance estimation with the graphical Lasso
10.1093/biostatistics/kxm045 · 2008 · External reference
Kernel support tensor regression
10.1016/j.proeng.2012.01.606 · 2012 · External reference
Ultimate tensorization: compressing convolutional and FC layers alike
2016 · External reference
Constrained optimization with low-rank tensors and applications to parametric problems with PDEs
10.1137/16m1057607 · 2017 · External reference
Multilinear PageRank
10.1137/140985160 · 2015 · External reference
Unresolved reference
2016 · External reference
Hierarchical singular value decomposition of tensors
10.1137/090764189 · 2010 · External reference
A literature survey of low-rank tensor approximation techniques
10.1002/gamm.201310004 · 2013 · External reference
Variants of alternating least squares tensor completion in the tensor train format
10.1137/130942401 · 2015 · External reference
Toeplitz and circulant matrices: A review
10.1561/0100000006 · 2006 · External reference
Quantum state tomography via compressed sensing
10.1103/physrevlett.105.150401 · 2010 · External reference
A linear support higher-order tensor machine for classification
10.1109/tip.2013.2253485 · 2013 · External reference
Multilinear tensor regression for longitudinal relational data
10.1214/15-aoas839 · 2015 · External reference
The alternating linear scheme for tensor optimization in the tensor train format
10.1137/100818893 · 2012 · External reference
On manifolds of tensors of fixed TT-rank
10.1007/s00211-011-0419-7 · 2012 · External reference
Matrix manifold optimization for Gaussian mixtures
2015 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2015 · External reference
Common and discriminative subspace kernel-based multiblock tensor partial least squares regression
10.1609/aaai.v30i1.10214 · 2016 · External reference
The analysis of two-way functional data using two-way regularized singular value decompositions
10.1198/jasa.2009.tm08024 · 2009 · External reference
A generalized Lanczos method for systematic optimization of tensor network states
2016 · External reference
Strictly single-site DMRG algorithm with subspace expansion
10.1103/physrevb.91.155115 · 2015 · External reference
Generic construction of efficient matrix product operators
10.1103/physrevb.95.035129 · 2017 · External reference
Subspace iteration methods in terms of matrix product states
10.1002/pamm.201210309 · 2012 · External reference
Doubly decomposing nonparametric tensor regression
2016 · External reference
Unresolved reference
2009 · External reference
Differential geometric Newton method for the best rank-(r1, r2, r3) approximation of tensors
10.1007/s11075-008-9251-2 · 2009 · External reference
Best low multilinear rank approximation of higher-order tensors, based on the Riemannian trust-region scheme
10.1137/090764827 · 2011 · External reference
Unresolved reference
2015 · External reference
Mining billion-scale tensors: Algorithms and discoveries
2016 · External reference
A note on the use of principal components in regression
1982 · External reference
Tensor low-rank and sparse light field photography
10.1016/j.cviu.2015.11.004 · 2016 · External reference
GigaTensor: Scaling tensor analysis up by 100 times— algorithms and discoveries
2012 · External reference
Unresolved reference
2015 · External reference
Parallel algorithms for tensor completion in the CP format
10.1016/j.parco.2015.10.002 · 2016 · External reference
Riemannian preconditioning for tensor completion
2015 · External reference
Multilevel Toeplitz matrices generated by tensor-structured vectors and convolution with logarithmic complexity
10.1137/110844830 · 2013 · External reference
Fast tensor method for summation of long-range potentials on 3D lattices with defects
10.1002/nla.2023 · 2016 · External reference
O(dlogN)-quantics approximation of N-d tensors in high dimensional numerical modeling
10.1007/s00365-011-9131-1 · 2011 · External reference
Tensors-structured numerical methods in scientific computing: Survey on recent advances
10.1016/j.chemolab.2011.09.001 · 2011 · External reference
Superfast wavelet transform using quantics TTapproximation. I. application to Haar wavelets
10.1515/cmam-2014-0016 · 2014 · External reference
Quantics-TT collocation approximation of parameter-dependent and stochastic elliptic PDEs
10.2478/cmam-2010-0023 · 2010 · External reference
Tensor-structured Galerkin approximation of parametric and stochastic elliptic PDEs
10.1137/100785715 · 2011 · External reference
Efficient computation of highly oscillatory integrals by using QTT tensor approximation
10.1515/cmam-2015-0033 · 2016 · External reference
Desingularization of bounded-rank matrix sets
2016 · External reference
10.1109/eusipco.2015.7362473
10.1109/eusipco.2015.7362473 · 2015 · External reference
Canonical correlation analysis of video volume tensors for action categorization and detection
10.1109/tpami.2008.167 · 2009 · External reference
Tensor canonical correlation analysis for action classification
2007 · External reference
Dynamical low rank approximation
10.1137/050639703 · 2007 · External reference
Dynamical tensor approximation
10.1137/09076578x · 2010 · External reference
Pymanopt: A Python Toolbox for manifold optimization using automatic differentiation
2016 · External reference
Trace optimization and eigenproblems in dimension reduction methods
10.1002/nla.743 · 2011 · External reference
Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold
2016 · External reference
Higher rank support tensor machines for visual recognition
10.1016/j.patcog.2012.04.033 · 2012 · External reference
Low-rank tensor methods for communicating Markov processes
10.1007/978-3-319-10696-0_4 · 2014 · External reference
Low-rank tensor Krylov subspace methods for parametrized linear systems
10.1137/100799010 · 2011 · External reference
Preconditioned low-rank methods for high dimensional elliptic PDE eigenvalue problems
10.2478/cmam-2011-0020 · 2011 · External reference
Algorithm 941: HTucker—A MATLAB toolbox for tensors in hierarchical Tucker format
10.1145/2538688 · 2014 · External reference
On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
10.1016/j.laa.2015.12.016 · 2016 · External reference
Low-rank tensor methods with subspace correction for symmetric eigenvalue problems
10.1137/130949919 · 2014 · External reference
Low-rank tensor completion by Riemannian optimization
10.1007/s10543-013-0455-z · 2014 · External reference
Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
10.1137/15m1032909 · 2016 · External reference
Volterrafaces: Discriminant analysis using volterra kernels
10.1109/cvpr.2009.5206837 · 2009 · External reference
Estimating the parameters of exponentially damped sinusoids and pole-zero modelling in noise
1982 · External reference
Algebraic techniques for the blind deconvolution of constant modulus signals
2004 · External reference
Fast convolutional neural networks using group-wise brain damage
2015 · External reference
Tensor conjugate-gradient-type method for Rayleigh quotient minimization in block QTT-format
10.1515/rjnamm.2011.026 · 2011 · External reference
Discriminant analysis for multiway data
2015 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Biclustering via sparse singular value decomposition
10.1111/j.1541-0420.2010.01392.x · 2010 · External reference
Estimating a few extreme singular values and vectors for large-scale matrices in Tensor Train format
10.1137/140983410 · 2015 · External reference
Tensor train decompositions for higher-order regression with LASSO penalties
2016 · External reference
Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions
10.1137/15m1028479 · 2016 · External reference
Multilinear discriminant analysis for higher-order tensor data classification
10.1109/tpami.2014.2342214 · 2014 · External reference
Tucker tensor regression and neuroimaging analysis
2013 · External reference
Experimental realization of a quantum support vector machine
10.1103/physrevlett.114.140504 · 2015 · External reference
Tensor methods for parameter estimation and bifurcation analysis of stochastic reaction networks
10.1098/rsif.2015.0233 · 2015 · External reference
Why does deep and cheap learning work so well?
2016 · External reference
A low-rank approach to the computation of path integrals
10.1016/j.jcp.2015.11.009 · 2016 · External reference
Tensor completion for estimating missing values in visual data
10.1109/tpami.2012.39 · 2013 · External reference
Dynamical approximation of hierarchical Tucker and tensor-train tensors
10.1137/120885723 · 2013 · External reference
Time integration of tensor trains
10.1137/140976546 · 2015 · External reference
A projector-splitting integrator for dynamical low-rank approximation
10.1007/s10543-013-0454-0 · 2014 · External reference
Support matrix machines
2015 · External reference
Tensor canonical correlation analysis for multi-view dimension reduction
10.1109/tkde.2015.2445757 · 2015 · External reference
Computing inner eigenvalues of matrices in tensor train matrix format
10.1007/978-3-642-33134-3_82 · 2013 · External reference
Wave-packet dynamics within the multiconfiguration Hartree framework: General aspects and application to NOCl
10.1063/1.463007 · 1992 · External reference
Analytic optimization of a MERA network and its relevance to quantum integrability and wavelet
2016 · External reference
Deep vs. shallow networks: An approximation theory perspective
10.1142/s0219530516400042 · 2016 · External reference
A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications
2003 · External reference
Tensor-variate Restricted Boltzmann Machines
2015 · External reference
Unresolved reference
2006 · External reference
Tensorizing neural networks
2015 · External reference
Exponential machines
2016 · External reference
Unresolved reference
2014 · External reference
A practical introduction to tensor networks: Matrix product states and projected entangled pair states
10.1016/j.aop.2014.06.013 · 2014 · External reference
Infinite time-evolving block decimation algorithm beyond unitary evolution
10.1103/physrevb.78.155117 · 2008 · External reference
Tensor-train decomposition
10.1137/090752286 · 2011 · External reference
Constructive representation of functions in low-rank tensor formats
10.1007/s00365-012-9175-x · 2012 · External reference
Solution of linear systems and matrix inversion in the TT-format
10.1137/110833142 · 2012 · External reference
Tucker dimensionality reduction of three-dimensional arrays in linear time
10.1137/060655894 · 2008 · External reference
TT-Toolbox
2012 · External reference
Thermodynamic limit of density matrix renormalization
10.1103/physrevlett.75.3537 · 1995 · External reference
Exponential data fitting using multilinear algebra: the single-channel and multi-channel case
10.1002/nla.453 · 2005 · External reference
Tensor networks for latent variable analysis. Part I: Algorithms for tensor train decomposition
2016 · External reference
Tensor networks for latent variable analysis. Part 2: Blind source separation and hamonic retrieval
2017 · External reference
Tensor decompositions for feature extraction and classification of high dimensional datasets
10.1587/nolta.1.37 · 2010 · External reference
TENSORBOX: MATLAB package for tensor decomposition
2012 · External reference
Efficient tensor completion: Low-rank tensor train
2016 · External reference
Variational numerical renormalization group: Bridging the gap between NRG and density matrix renormalization group
10.1103/physrevlett.108.067202 · 2012 · External reference
Why and when can deep–but not shallow–networks avoid the curse of dimensionality: A review
2016 · External reference
Matrix variate RBM and its applications
2016 · External reference
Hankel tensors: Associated Hankel matrices and Vandermonde decomposition
10.4310/cms.2015.v13.n1.a6 · 2015 · External reference
Higher-order low-rank regression
2016 · External reference
Convex regularization for high-dimensional tensor regression
2015 · External reference
Unresolved reference
2006 · External reference
Low rank tensor recovery via iterative hard thresholding
2016 · External reference
Quantum support vector machine for big data classification
10.1103/physrevlett.113.130503 · 2014 · External reference
Nested expectation propagation for Gaussian process classification with a multinomial probit likelihood
2012 · External reference
Kernel partial least squares regression in reproducing kernel Hilbert space
2002 · External reference
Deep Boltzmann Machines
2009 · External reference
Riemannian stochastic variance reduced gradient
2017 · External reference
Exact NMR simulation of protein-size spin systems using tensor train formalism
10.1103/physrevb.90.085139 · 2014 · External reference
Deep learning in neural networks: An overview
10.1016/j.neunet.2014.09.003 · 2015 · External reference
Deeper and cheaper machine learning [top tech 2017]
10.1109/mspec.2017.7802746 · 2017 · External reference
Unresolved reference
2002 · External reference
The density-matrix renormalization group in age of matrix product states
10.1016/j.aop.2010.09.012 · 2011 · External reference
10.1007/978-3-642-35106-8_3
10.1007/978-3-642-35106-8_3 · 2013 · External reference
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10.1080/00107514.2014.964942 · 2015 · External reference
Unresolved reference
1987 · External reference
Online learning in the manifold of low-rank matrices
2010 · External reference
Tensorial mixture models
2016 · External reference
Unresolved reference
2007 · External reference
Fully scalable methods for distributed tensor factorization
10.1109/tkde.2016.2610420 · 2017 · External reference
A kernel-based framework to tensorial data analysis
10.1016/j.neunet.2011.05.011 · 2011 · External reference
Classification of multichannel signals with cumulant-based kernels
10.1109/tsp.2012.2186443 · 2012 · External reference
Support vector regression machines
1997 · External reference
Unresolved reference
1986 · External reference
Unresolved reference
2016 · External reference
Riemannian optimization for high-dimensional tensor completion
10.1137/15m1010506 · 2016 · External reference
Supervised learning with quantum inspired tensor networks
2016 · External reference
ITensor Library Release v0.2.5
2014 · External reference
Sparse low-rank tensor response regression
2016 · External reference
Heterogeneous tensor decomposition for clustering via manifold optimization
10.1109/tpami.2015.2465901 · 2016 · External reference
Least squares support vector machine classifiers
10.1023/a:1018628609742 · 1999 · External reference
Matching pursuit Lasso Part I and II: Sparse recovery over big dictionary
10.1109/tsp.2014.2385036 · 2015 · External reference
Normalized iterative hard thresholding for matrix completion
10.1137/120876459 · 2013 · External reference
Unresolved reference
2005 · External reference
Regression shrinkage and selection via the LASSO
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Multikernel least mean squares algorithm
10.1109/tnnls.2013.2272594 · 2014 · External reference
Convex tensor decomposition via structured Schatten norm regularization
2013 · External reference
The geometry of algorithms using hierarchical tensors
10.1016/j.laa.2013.03.016 · 2013 · External reference
Taylorfit MPR
2003 · External reference
Unresolved reference
1998 · External reference
A randomized block sampling approach to Canonical Polyadic decomposition of large-scale tensors
10.1109/jstsp.2015.2503260 · 2016 · External reference
Tensorlab 3.0
2016 · External reference
Efficient classical simulation of slightly entangled quantum computations
10.1103/physrevlett.91.147902 · 2003 · External reference
Class of quantum many-body states that can be efficiently simulated
10.1103/physrevlett.101.110501 · 2008 · External reference
Transfer-matrix density-matrix renormalization-group theory for thermodynamics of one-dimensional quantum systems
10.1103/physrevb.56.5061 · 1997 · External reference
Fast and guaranteed tensor decomposition via sketching
2015 · External reference
Tensor displays: Compressive light field synthesis using multilayer displays with directional backlighting
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Density matrix formulation for quantum renormalization groups
10.1103/physrevlett.69.2863 · 1992 · External reference
Density matrix renormalization group algorithms with a single center site
10.1103/physrevb.72.180403 · 2005 · External reference
Multitask learning meets tensor factorization: Task imputation via convex optimization
2014 · External reference
Theoretical and experimental analyses of tensor-based regression and classification
10.1162/neco_a_00815 · 2016 · External reference
Unresolved reference
2010 · External reference
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
10.1093/biostatistics/kxp008 · 2009 · External reference
General tensor spectral co-clustering for higher-order data
2016 · External reference
Unresolved reference
1999 · External reference
Deep multi-task representation learning: A tensor factorisation approach
2016 · External reference
Blind source separation via the second characteristic function
10.1016/s0165-1684(00)00062-1 · 2000 · External reference
Smooth PARAFAC decomposition for tensor completion
10.1109/tsp.2016.2586759 · 2016 · External reference
Learning from multiway data: Simple and efficient tensor regression
2016 · External reference
Low-rank tensor constrained multiview subspace clustering
2015 · External reference
Subspace methods with local refinements for eigenvalue computation using low-rank tensor-train format
2016 · External reference
Enabling high-dimensional hierarchical uncertainty quantification by ANOVA and tensor-train decomposition
10.1109/tcad.2014.2369505 · 2015 · External reference
Unresolved reference
2011 · External reference
Higher order partial least squares (HOPLS): A generalized multilinear regression method
10.1109/tpami.2012.254 · 2013 · External reference
A tensor-variate Gaussian process for classification of multidimensional structured data
2013 · External reference
Kernelization of tensor-based models for multiway data analysis: Processing of multidimensional structured data
10.1109/msp.2013.2255334 · 2013 · External reference
Unresolved reference
2014 · External reference
Bayesian CP factorization of incomplete tensors with automatic rank determination
10.1109/tpami.2015.2392756 · 2015 · External reference
Bayesian robust tensor factorization for incomplete multiway data
10.1109/tnnls.2015.2423694 · 2016 · External reference
Least squares twin support tensor machine for classification
10.12733/jics20104377 · 2014 · External reference
DinTucker: Scaling up Gaussian process models on large multidimensional arrays
10.1609/aaai.v30i1.10222 · 2016 · External reference
Distributed flexible nonlinear tensor factorization
2016 · External reference
TDALAB: Tensor Decomposition Laboratory
2013 · External reference
Tensor regression with applications in neuroimaging data analysis
10.1080/01621459.2013.776499 · 2013 · External reference
Riemannian tensor completion with side information
2016 · External reference
Fundamental modular region, Boltzmann factor and area law in lattice theory
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