Scalable symmetric Tucker tensor decomposition

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Tensor Decompositions and Applications
Differential-geometric Newton method for the best rank-$(R _{1}, R _{2}, R _{3})$ approximation of tensors
Factor analysis for non-normal variables
A simplified neuron model as a principal component analyzer
Independent component analysis, a new concept?
Monotonically convergent algorithms for symmetric tensor approximation
Nearest comoment estimation with unobserved factors
Anomaly detection in scientific data using joint statistical moments
First-order methods almost always avoid strict saddle points
The approximation of one matrix by another of lower rank.
Jacobi algorithm for the best low multilinear rank approximation of symmetric tensors
Introduction to Smooth Manifolds
On evaluating higher-order derivatives of the QR decomposition of tall matrices with full column rank in forward and reverse mode algorithmic differentiation
A New Truncation Strategy for the Higher-Order Singular Value Decomposition
Tensor decompositions for learning latent variable models
Learning Mixtures of Gaussians in High Dimensions
Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme
Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach
Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization
Efficient Computation of Higher-Order Cumulant Tensors
A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor
Exploratory Projection Pursuit
Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling
A Multilinear Singular Value Decomposition
On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
Numerical tensor calculus
Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format
Low-Rank Tucker Approximation of a Tensor from Streaming Data
An Introduction to Optimization on Smooth Manifolds
The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection
Hermite Interpolation and Data Processing Errors on Riemannian Matrix Manifolds
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation
Turnstile streaming algorithms might as well be linear sketches
Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
Most Tensor Problems Are NP-Hard
Common risk factors in the returns on stocks and bonds
Measures of multivariate skewness and kurtosis with applications
Algorithm 1036: ATC, an advanced Tucker compression library for multidimensional data

This page was built for publication: Scalable symmetric Tucker tensor decomposition

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6623664)