Image de couverture de livre

Hierarchical Alternating Least Squares Methods for Quaternion Nonnegative Matrix Factorizations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Pan, Junjun
Format:	Preprint
Publié:	2024
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Hermitian Quaternion Toeplitz Matrices by Quaternion-valued Generating Functions
par: Lin, Xue-lei, et autres
Publié: (2025)

Block Diagonalization of Quaternion Circulant Matrices with Applications
par: Pan, Junjun, et autres
Publié: (2023)

Flexible Modified LSMR Method for Least Squares Problems
par: Yang, Mei, et autres
Publié: (2024)

Maximum-Volume Nonnegative Matrix Factorization
par: Thanh, Olivier Vu, et autres
Publié: (2026)

QuatIca: Advanced Numerical Linear Algebra and Optimization for Quaternionic Matrices in Python
par: Leplat, Valentin, et autres
Publié: (2026)

Deep Nonnegative Matrix Factorization with Beta Divergences
par: Leplat, Valentin, et autres
Publié: (2023)

Revisiting Approximate Leverage Score Sketching for Matrix Least Squares
par: Larsen, Brett W., et autres
Publié: (2022)

Data dependent Moving Least Squares
par: Levin, David, et autres
Publié: (2024)

A Riemannian Gradient Descent Method for the Least Squares Inverse Eigenvalue Problem
par: Riley, Alban Bloor, et autres
Publié: (2025)

Least-Squares Finite Element Methods for nonlinear problems: A unified framework
par: Bertrand, Fleurianne, et autres
Publié: (2025)

Graph Regularized Sparse $L_{2,1}$ Semi-Nonnegative Matrix Factorization for Data Reduction
par: Rhodes, Anthony, et autres
Publié: (2024)

Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution
par: Allen, Kenneth, et autres
Publié: (2023)

Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
par: Roy, Hrittik, et autres
Publié: (2025)

Generalized Moving Least-Squares Methods for Solving Vector-valued PDEs on Unknown Manifolds
par: Li, Rongji, et autres
Publié: (2024)

Least-Squares Neural Network (LSNN) Method for Scalar Hyperbolic Partial Differential Equations
par: Liu, Min, et autres
Publié: (2026)

Construction of the Nearest Nonnegative Hankel Matrix for a Prescribed Eigenpair
par: Kanhya, Prince, et autres
Publié: (2025)

An Introduction to Total Least Squares
par: de Groen, P. P. N.
Publié: (1998)

A Sequential Least Squares Method for Poisson Equation using A Patch Reconstructed Space
par: Li, Ruo, et autres
Publié: (2019)

Stability of Least Squares Approximation under Random Sampling
par: Xu, Zhiqiang, et autres
Publié: (2024)

A Least-Squares Weak Galerkin Method for Second-Order Elliptic Equations in Non-Divergence Form
par: Wang, Chunmei, et autres
Publié: (2026)

Nonconvex Robust Quaternion Matrix Completion for Imaging Processing
par: Huang, Baohua, et autres
Publié: (2024)

Solution of Least Squares Problems with Randomized Preconditioned Normal Equations
par: Ipsen, Ilse C. F.
Publié: (2025)

Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition
par: Miao, Jifei, et autres
Publié: (2024)

Iterative Methods for Computing the Moore-Penrose Pseudoinverse of Quaternion Matrices, with Applications
par: Leplat, Valentin, et autres
Publié: (2025)

Solving Partial Differential Equations on Evolving Surfaces via the Constrained Least-Squares and Grid-Based Particle Method
par: Ying, Ningchen, et autres
Publié: (2024)

A New Combination of Preconditioned Gradient Descent Methods and Vector Extrapolation Techniques for Nonlinear Least-Squares Problems
par: Mouhssine, Abdellatif
Publié: (2026)

Generalized Singular Value Decompositions of Dual Quaternion Matrix Triplets
par: Ling, Sitao, et autres
Publié: (2025)

Optimizing Variational Physics-Informed Neural Networks Using Least Squares
par: Uriarte, Carlos, et autres
Publié: (2024)

An Optimal Least-Square Solver For Scaled Partial-Isometric Linear Systems
par: Kar, Suvendu, et autres
Publié: (2025)

Collocation and Mass Matrix in Least-squares Isogeometric Analysis
par: Li, Gengchen, et autres
Publié: (2025)

Nonnegative Biquadratic Tensors
par: Cui, Chunfeng, et autres
Publié: (2025)

Numerical Linear Algebra: Least Squares, QR and SVD
par: Mirzaei, Davoud
Publié: (2024)

Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
par: Chen, Juefei, et autres
Publié: (2024)

Robustness of Minimum-Volume Nonnegative Matrix Factorization under an Expanded Sufficiently Scattered Condition
par: Barbarino, Giovanni, et autres
Publié: (2025)

Deflation Techniques for Finding Multiple Local Minima of a Nonlinear Least Squares Problem
par: Riley, Alban Bloor, et autres
Publié: (2024)

A Least-Squares Weak Galerkin Finite Element Scheme for Cauchy Problems in Helmholtz
par: Wang, Chunmei, et autres
Publié: (2026)

The Power Method for Non-Hermitian Dual Quaternion Matrices
par: Yang, Hao, et autres
Publié: (2025)

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
par: Hayashi, Koby, et autres
Publié: (2024)

Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks
par: Cen, Siyu, et autres
Publié: (2024)

A Least-Squares Weak Galerkin Finite Element Scheme for Cauchy Problems in Convection--Diffusion
par: Wang, Chunmei, et autres
Publié: (2026)