Suchergebnisse - rank factorization algorithms

Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model.

Autoren: Tao, Ting Qian, Yitian Pan, Shaohua

Quelle: Computational Optimization & Applications. Nov2025, Vol. 92 Issue 2, p617-653. 37p.

Schlagwörter: *MATHEMATICAL analysis, MATRIX decomposition, OPTIMIZATION algorithms, COMPARATIVE studies, MATHEMATICAL regularization

SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization.

Autoren: Ong F Zhong Z Liao C et al.

Quelle: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2023 May; Vol. 42 (5), pp. 1522-1531. Date of Electronic Publication: 2023 May 02.

Publikationsart: Journal Article; Research Support, N.I.H., Extramural

Info zur Zeitschrift: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 8310780 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-254X (Electronic) Linking ISSN: 02780062 NLM ISO Abbreviation: IEEE Trans Med Imaging Subsets: MEDLINE

MeSH-Schlagworte: Magnetic Resonance Imaging*/methods , Algorithms*, Heart Rate ; Phantoms, Imaging

LOW-RANK FACTORIZATIONS IN DATA SPARSE HIERARCHICAL ALGORITHMS FOR PRECONDITIONING SYMMETRIC POSITIVE DEFINITE MATRICES.

Autoren: AGULLO, EMMANUEL DARVE, ERIC GIRAUD, LUC et al.

Quelle: SIAM Journal on Matrix Analysis & Applications. 2018, Vol. 39 Issue 4, p1701-1725. 25p.

Schlagwörter: *FACTORIZATION, *LOW-rank matrices, *SPARSE approximations, *SPARSE matrices, *SADDLEPOINT approximations, *MATRICES (Mathematics), *MATRIX multiplications

Matrix completion via a low rank factorization model and an Augmented Lagrangean Succesive Overrelaxation Algorithm

Autoren: Hugo Lara Harry Oviedo Jinjun Yuan

Quelle: Bulletin of Computational Applied Mathematics, Vol 2, Iss 2, Pp 21-46 (2015)

Schlagwörter: matrix completion, alternanting minimization, nonlinear Gauss-Seidel method, nonlinear SOR method, Augmented Lagrange method, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: http://drive.google.com/open?id=0B5GyVVQ6O030bEVPb3owckh5YVE; https://doaj.org/toc/2244-8659

Zugangs-URL: https://doaj.org/article/51d51a82defa4ba18782696211ea66ad

Factorization model with total variation regularizer for image reconstruction and subgradient algorithm.

Autoren: Li, Bujin Pan, Shaohua Qian, Yitian

Quelle: Pattern Recognition. Feb2026, Vol. 170, pN.PAG-N.PAG. 1p.

Schlagwörter: *IMAGE reconstruction, *FACTORIZATION, *SIMULATION methods & models, *NONCONVEX programming, *RANDOM noise theory, *HYPERSPECTRAL imaging systems, *MATHEMATICAL regularization, *SUBGRADIENT methods

Lossless Model Compression via Joint Low-Rank Factorization Optimization

Autoren: Zhang, Boyang Cheng, Daning Zhang, Yunquan et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computational Complexity, text

URL: http://arxiv.org/abs/2412.06867

A RANDOMIZED BLOCKED ALGORITHM FOR EFFICIENTLY COMPUTING RANK-REVEALING FACTORIZATIONS OF MATRICES.

Autoren: MARTINSSON, PER-GUNNAR VORONIN, SERGEY

Quelle: SIAM Journal on Scientific Computing. 2016, Vol. 38 Issue 5, pS485-S507. 23p.

Schlagwörter: *ALGORITHMS, *FACTORIZATION, *MATRICES (Mathematics), *FROBENIUS algebras, *GRAM-Schmidt process, *ASYMPTOTIC expansions, *NUMERICAL analysis

D-analogue of an algorithm for determining single-parametric Drazin generalized inverse matrix based on matrix full rank factorization

Autoren: Hamlet Aslanyan Sargis Simonyan

Quelle: Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 325, Iss 2 (2019)

Schlagwörter: single-parametric Drazin generalized inverse matrix, full rank factorization of the matrix, differential transformations, information technologies, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, TA703-712

Relation: http://izvestiya.tpu.ru/archive/article/view/1419; https://doaj.org/toc/2500-1019; https://doaj.org/toc/2413-1830; https://doaj.org/article/f2bdbc50514a4e81aa2cb07eae14032d

Verfügbarkeit: https://doaj.org/article/f2bdbc50514a4e81aa2cb07eae14032d

nmf_audio_benchmark: Benchmarking NMF algorithms on audio tasks ; nmf_audio_benchmark: Benchmarking NMF algorithms on audio tasks: Presentation of a toolbox which allows to run and compare different NMF algorithms on audio data.

Autoren: Marmoret, Axel Equipe Better Representations for Artificial Intelligence (Lab_STICC_BRAIn) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) et al.

Weitere Verfasser: Marmoret, Axel Equipe Better Representations for Artificial Intelligence (Lab_STICC_BRAIn) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) et al.

Quelle: Journée "Synthèse en traitement du signal audionumérique", GDR IASIS ; https://hal.science/hal-04753826 ; Journée "Synthèse en traitement du signal audionumérique", GDR IASIS, Nov 2024, Paris, France

Schlagwörter: Ecoacoustics, Audio signal processing, Music information retrieval, Nonnegative Matrix Factorization, Low-rank Factorization, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]

Geographisches Schlagwort: Paris, France

Relation: https://hal.science/hal-04667145v1; https://hal.science/hal-04752513v1; https://archive.softwareheritage.org/swh:1:dir:a199aadadf848e5d5f97a303ff83e1d35996586f; https://archive.softwareheritage.org/swh:1:snp:a74993f2b90d5237073235e2d822052fb878a0e1; https://archive.softwareheritage.org/swh:1:rel:90f25d1802d2479f116ec7a337697e1d450c3792

Verfügbarkeit: https://hal.science/hal-04753826
https://hal.science/hal-04753826v1/document
https://hal.science/hal-04753826v1/file/GdR_Poster__nmf_audio_benchmark.pdf

Decision of the Optimal Rank of a Nonnegative Matrix Factorization Model for Gene Expression Data Sets Utilizing the Unit Invariant Knee Method: Development and Evaluation of the Elbow Method for Rank Selection.

Autoren: Guven, Emine

Quelle: JMIR Bioinformatics & Biotechnology; 2023, Vol. 4 Issue 1, p1-11, 11p

Schlagwörter: GENE expression, DNA microarrays, ACUTE myeloid leukemia, ALGORITHMS, COMPUTATIONAL biology

Rank-Based Tensor Factorization for Student Performance Prediction

Autoren: Doan, Thanh-Nam Sahebi, Shaghayegh

Quelle: International Educational Data Mining Society. 2019.

Peer Reviewed: Y

Page Count: 6

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Data Analysis, Performance Factors, Prediction, Models, Mathematics, Knowledge Level, Problem Solving, Conceptual Tempo, Students, Learning Processes

Infrared dim target detection algorithm based on low rank factorization and human visual system fusion

Autoren: wang, siyi pan, shengda Liu, Jinping et al.

Weitere Verfasser: wang, siyi pan, shengda Liu, Jinping et al.

Quelle: International Conference on Optics and Machine Vision (ICOMV 2024) ; page 18

Verfügbarkeit: https://doi.org/10.1117/12.3031602

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements

Autoren: Haselby, Cullen Iwen, Mark A. Needell, Deanna et al.

Index Begriffe: Computer Science - Information Theory, Mathematics - Numerical Analysis, 65F55, text

URL: http://arxiv.org/abs/2308.13709

Butterfly factorization by algorithmic identification of rank-one blocks

Autoren: Zheng, Léon Puy, Gilles Riccietti, Elisa et al.

Index Begriffe: Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2307.00820

School of MTIME-VARYING SEMIDEFINITE PROGRAMMING: PATH FOLLOWING A BURER MONTEIRO FACTORIZATION.

Autoren: BELLON, ANTONIO DRESSLER, MAREIKE KUNGURTSEV, VYACHESLAV et al.

Quelle: SIAM Journal on Optimization. 2024, Vol. 34 Issue 1, p1-26. 26p.

Schlagwörter: *TRACKING algorithms, *SEMIDEFINITE programming, *FACTORIZATION, *ONLINE algorithms, *INTERIOR-point methods, *LOW-rank matrices, *MATRIX decomposition

Fast and low-memory compressive sensing algorithms for low tucker-rank tensor approximation from streamed measurements

Autoren: Haselby, Cullen Iwen, Mark A. Needell, Deanna et al.

Weitere Verfasser: Haselby, Cullen Iwen, Mark A. Needell, Deanna et al.

Quelle: Numerical Algorithms ; ISSN 1017-1398 1572-9265

Verfügbarkeit: https://doi.org/10.1007/s11075-025-02101-0
https://link.springer.com/content/pdf/10.1007/s11075-025-02101-0.pdf
https://link.springer.com/article/10.1007/s11075-025-02101-0/fulltext.html

Д-аналог метода определения однопараметрической обобщенной обратной матрицы Дразина, основанный на скелетном разложении матрицы ; D-analogue of an algorithm for determining single-parametric Drazin generalized inverse matrix based on matrix full rank factorization

Autoren: Асланян, Гамлет Арменович Симонян, Саргис Оганесович

Quelle: Известия Томского политехнического университета

Schlagwörter: матрицы, обратная матрица Дразина, скелетное разложение, индексы, дифференциальные преобразования, информационные технологии, single-parametric Drazin generalized inverse matrix, full rank factorization of the matrix, differential transformations, information technologies

Dateibeschreibung: application/pdf

Relation: Известия Томского политехнического университета [Известия ТПУ]. 2014. Т. 325, № 2 : Математика, физика и механика; http://earchive.tpu.ru/handle/11683/5312

Verfügbarkeit: http://earchive.tpu.ru/handle/11683/5312

Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach

Autoren: Sokal, Bruno Gomes, Paulo R. B. de Almeida, Andre L. F. et al.

Quelle: IEEE Transactions on Wireless Communications. 22(10):6578-6593

Schlagwörter: Reconfigurable intelligent surface, feedback overhead, control signaling, low-rank approximation, tensor modeling, PARAFAC, Tucker

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-341561

Idempotent-Aided Factorizations of Regular Elements of a Semigroup.

Autoren: Ćirić, Miroslav Ignjatović, Jelena Stanimirović, Predrag S.

Quelle: Mathematics (2227-7390). Oct2024, Vol. 12 Issue 19, p3136. 16p.

Schlagwörter: *MATRIX decomposition, *ALGORITHMS, *MATRICES (Mathematics), *FACTORIZATION

Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications

Autoren: Thanh, Olivier Vu Gillis, Nicolas Lecron, Fabian

Index Begriffe: Computer Science - Machine Learning, Computer Science - Information Retrieval, Electrical Engineering and Systems Science - Signal Processing, Mathematics - Numerical Analysis, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2209.12638