Výsledky vyhľadávania - "sparse approximation"

Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models

Autori: Jeremy E. Cohen Valentin Leplat Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS) a ďalší

Prispievatelia: Jeremy E. Cohen Valentin Leplat Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS) a ďalší

Zdroj: SIAM Journal on Mathematics of Data Science. 7:468-494

Predmety: FOS: Computer and information sciences, non-convex optimization, Computer Science - Machine Learning, Constrained low-rank approximations, Numerical Analysis (math.NA), sparse approximation, Machine Learning (cs.LG), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Constrained low-rank approximations non-convex optimization sparse approximation, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Mathematics - Optimization and Control, sparse approximations

Prístupová URL adresa: http://arxiv.org/abs/2403.18517

An approach to discrete operator learning based on sparse high-dimensional approximation. ETNA - Electronic Transactions on Numerical Analysis

Autori: Potts, Daniel Taubert, Fabian

Predmety: sparse approximation, nonlinear approximation, high-dimensional approximation, dimension-incremental algorithm, partial differential equations, operator learning,Mathematics, Physics and Space Research

Popis súboru: application/pdf

Spherical Designs for Approximations on Spherical Caps: Spherical designs for approximations on spherical caps

Autori: Li, C Chen, X Department of Applied Mathematics

Prispievatelia: Li, C Chen, X Department of Applied Mathematics

Zdroj: SIAM Journal on Numerical Analysis. 62:2506-2528

Predmety: Sparse approximation, Spherical design, spherical caps, Nonsmooth optimization, Spherical caps, sparse approximation, Numerical quadrature and cubature formulas, spherical design, nonsmooth optimization

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7946609
https://doi.org/10.1137/23m1555417

Descriptor control of sound transformations and mosaicing synthesis

Autori: Coleman, Graham Keith

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Serra, Xavier, Bonada, Jordi

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Sampling synthesis, Mosaicing, Concatenative sound synthesis, Sparse approximation, Sound transformations, Sound effects, Curse of dimensionality, Sound texture transfer, Machine learning, Nonlinear regression, Subjective evaluation of audio, Listening tests, Structured sparsity, Síntesi de mostreig, Síntesi concatenativa de so, Aproximació escassa, Transformacions de so, Efectes de so, Maledicció de la dimensionalitat, Transferencia de textura de so, Aprenentatge automàtic, Regressió no lineal, Evaluació subjectiva de l’audio, Proves d’escolta, Escassetat estructurada

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/392138

Intelligent Reconfigurable surface technique for Multiple Antenna Communication System

Autori: Noor Qasim Ismail Hburi Haider Salih Al Ammar

Zdroj: Wasit Journal of Engineering Sciences, Vol 12, Iss 3 (2024)

Predmety: Keywords: digital to analog pre-coding, intelligent recon-figure able surface (IRS), minimum mean squared error pre-coder (MMSE), Matching pursuit (sparse approximation) method, Architectural engineering. Structural engineering of buildings, TH845-895, Environmental engineering, Electrical engineering. Electronics. Nuclear engineering, TA170-171, TK1-9971

Prístupová URL adresa: https://doaj.org/article/9a7a0414325c486e8be44529dc8190f8

Randomized Least-Squares with Minimal Oversampling and Interpolation in General Spaces

Autori: Matthieu Dolbeault Moulay Abdellah Chkifa

Zdroj: SIAM Journal on Numerical Analysis. 62:1515-1538

Predmety: Convex Optimization, Computational Mechanics, Polynomial, Mathematical analysis, Estimator, Bandwidth (computing), Filter (signal processing), Sparse Approximation, Engineering, High-dimensional Integration and Quasi-Monte Carlo Methods, Machine learning, FOS: Mathematics, Mathematics - Numerical Analysis, Multivariate Approximation, Stability (learning theory), Numerical Analysis, Computer network, Randomized Methods, Computer graphics (images), Oversampling, Mathematical optimization, Statistics, Numerical Analysis (math.NA), Sampling (signal processing), Animation, 65D15, 41A65, 65D05, 41A81, 41A05, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Discrepancy Minimization, Dimension (graph theory), Combinatorics, Physical Sciences, Computer Science, Interpolation (computer graphics), Computer vision, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Mathematics, Least-squares function approximation

Prístupová URL adresa: http://arxiv.org/abs/2306.07435

SCALABLE PHYSICS-INFORMED NEURAL SOLVERS FOR HIGH-DIMENSIONAL SCIENTIFIC SIMULATIONS IN HETEROGENEOUS COMPUTING ENVIRONMENTS ENHANCED ADAPTIVE SPARSE APPROXIMATION FRAMEWORK INTEGRATING DEEP LEARNING, FINITE ELEMENT METHODS, AND PARALLEL GPU-CPU CO-PROCESSING

Autori: Researcher

Predmety: Physics-Informed Neural Networks (PINNs), Finite Element Methods (FEM), GPU-CPU Co-processing, High-Dimensional Simulations, Adaptive Sparse Approximation, Scientific Computing

Improved Magnetic Resonance Image Reconstruction using Compressed Sensing and Adaptive Multi Extreme Particle Swarm Optimization Algorithm

Autori: Moureen Nalumansi Elijah Mwangi George Kamucha

Zdroj: International Journal of Electrical and Electronics Research. 12:393-402

Predmety: Convex Optimization, Single Image Super-Resolution Techniques, Computational Mechanics, Biomedical Engineering, 02 engineering and technology, FOS: Medical engineering, Sparse Approximation, 03 medical and health sciences, 0302 clinical medicine, Engineering, Magnetic resonance imaging, Compressed Sensing, 0202 electrical engineering, electronic engineering, information engineering, Multi-swarm optimization, Particle swarm optimization, Signal Recovery, Advances in Photoacoustic Imaging and Tomography, Theory and Applications of Compressed Sensing, 16. Peace & justice, Computer science, Molecular Imaging, Iterative reconstruction, Algorithm, Physical Sciences, Computer Science, Compressed sensing, Medicine, Computer vision, Computer Vision and Pattern Recognition, Radiology

Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models

Autori: Cohen, Jérémy, E. Leplat, Valentin Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS) a ďalší

Prispievatelia: Cohen, Jérémy, E. Leplat, Valentin Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS) a ďalší

Zdroj: EISSN: 2577-0187 ; SIAM Journal on Mathematics of Data Science ; https://hal.science/hal-04922736 ; SIAM Journal on Mathematics of Data Science, In press

Predmety: Constrained low-rank approximations, non-convex optimization, sparse approximations, Constrained low-rank approximations non-convex optimization sparse approximation, sparse approximation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2403.18517; ARXIV: 2403.18517

Dostupnosť: https://hal.science/hal-04922736
https://hal.science/hal-04922736v1/document
https://hal.science/hal-04922736v1/file/2025-Efficient_algorithms_for_HRSI_arXiv_Version_finale.pdf

A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations

Autori: Suparat Kesornprom Papatsara Inkrong Uamporn Witthayarat a ďalší

Zdroj: AIMS Mathematics, Vol 9, Iss 7, Pp 18841-18859 (2024)

Predmety: Artificial intelligence, Inverse Problems in Mathematical Physics and Imaging, Convex Optimization, Economics, Inverse Problems, minimization problem, 0211 other engineering and technologies, Computational Mechanics, Biomedical Engineering, Geometry, 02 engineering and technology, FOS: Medical engineering, 01 natural sciences, Mathematical analysis, Quantum mechanics, Sparse Approximation, inertial extrapolation, Engineering, Compressed Sensing, Convex function, QA1-939, FOS: Mathematics, Image (mathematics), Orthogonal Matching Pursuit, 0101 mathematics, Mathematical Physics, Economic growth, Computer network, forward-backward algorithm, Minification, Physics, Mathematical optimization, Advances in Photoacoustic Imaging and Tomography, Lipschitz continuity, Rate of convergence, Theory and Applications of Compressed Sensing, Computer science, Convex optimization, Regular polygon, Algorithm, Channel (broadcasting), Physical Sciences, Convergence (economics), weak convergence, Inertial frame of reference, Mathematics

Prístupová URL adresa: https://doaj.org/article/3d497ac52ad64ebda166be4248739767

Robust Deconvolution with Parseval Filterbanks

Autori: Nenov, Rossen Lostanlen, Vincent Balazs, Peter a ďalší

Prispievatelia: Nenov, Rossen Lostanlen, Vincent Balazs, Peter a ďalší

Zdroj: Proceedings of the IEEE International Conference on Sampling Theory and Applications (SampTA) ; IEEE International Conference on Sampling Theory and Applications (SampTA) ; https://hal.science/hal-05006852 ; IEEE International Conference on Sampling Theory and Applications (SampTA), Jul 2025, Vienne, Austria ; https://sampta25.univie.ac.at/

Predmety: gradient methods, signal reconstruction, sparse approximation, digital signal processing, deconvolution, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Geografické téma: Vienne, Austria

Dostupnosť: https://hal.science/hal-05006852
https://hal.science/hal-05006852v1/document
https://hal.science/hal-05006852v1/file/nenov2025sampta.pdf

Comparative Analysis of the Prox Penalty and Bregman Algorithms for Image Denoising

Autori: Soulef Bougueroua Noureddine Daili

Zdroj: Journal of Applied Mathematics, Vol 2023 (2023)

Predmety: Artificial intelligence, Convex Optimization, Computational Mechanics, 02 engineering and technology, 01 natural sciences, Quantum mechanics, Sparse Approximation, Image restoration, Multispectral and Hyperspectral Image Fusion, Engineering, Image processing, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, FOS: Mathematics, Image (mathematics), Image quality, Image Denoising, 0101 mathematics, Noise reduction, Physics, Optics, Isotropy, Theory and Applications of Compressed Sensing, Computer science, Algorithm, Computer Science, Physical Sciences, Gaussian, Anisotropy, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Mathematics

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/6dbeae00859e4a809ea112c03f3367b0

Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion

Autori: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Prispievatelia: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Zdroj: 2022 56th Asilomar Conference on Signals, Systems, and Computers. :872-876

Predmety: ta113, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology, dictionary learning, image fusion, Simultaneous sparse approximation, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2203.09913
http://juuli.fi/Record/0668153823
https://doi.org/10.1109/IEEECONF56349.2022.10052057
https://aaltodoc.aalto.fi/handle/123456789/120366

Effectiveness of specularity removal from hyperspectral images in the colour spectral measurement of wool fibres

Autori: Kebin Qiu Jiajia Shen Weiguo Chen a ďalší

Zdroj: IET Image Processing, Vol 17, Iss 11, Pp 3143-3152 (2023)

Predmety: hyperspectral image, QA76.75-76.765, specularity removal, Photography, 0202 electrical engineering, electronic engineering, information engineering, wool fibre, specular‐constrained sparse approximation, Computer software, 02 engineering and technology, TR1-1050, lightness dissimilarity

Prístupová URL adresa: https://doaj.org/article/60d0830eef4640c89f65ba058614926b

An Efficient Iterative Algorithm for Solving the Split Feasibility Problem in Hilbert Spaces Applicable in Image Deblurring, Signal Recovering, and Polynomiography

Autori: Lanchakorn Kittiratanawasin Damrongsak Yambangwai Chonjaroen Chairatsiripong a ďalší

Zdroj: Journal of Mathematics, Vol 2023 (2023)

Predmety: Inverse Problems in Mathematical Physics and Imaging, Economics, Bilevel Programming, Inverse Problems, Acceleration, Computational Mechanics, Fixed-Point Problems, Mathematical analysis, 01 natural sciences, Sparse Approximation, Image restoration, Engineering, Image processing, QA1-939, FOS: Mathematics, Image (mathematics), Classical mechanics, Iterative Algorithms, 0101 mathematics, Mathematical Physics, Economic growth, Signal recovery, Physics, Mathematical optimization, Hilbert space, Iterative Algorithms for Nonlinear Operators and Optimization, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Iterative method, Algorithm, Computational Theory and Mathematics, Deblurring, Computer Science, Physical Sciences, Convergence (economics), Compressed sensing, Computer vision, Mathematics

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/0652f88aafcc4ee59901a1fcce0be678

Image restoration by using a modified proximal point algorithm

Autori: Areerat Arunchai Thidaporn Seangwattana Kanokwan Sitthithakerngkiet a ďalší

Zdroj: AIMS Mathematics, Vol 8, Iss 4, Pp 9557-9575 (2023)

Predmety: Convex Optimization, Economics, Computational Mechanics, 0211 other engineering and technologies, Geometry, variational inclusion problem, 02 engineering and technology, Fixed-Point Problems, image restoration, 01 natural sciences, proximal point algorithm, Sparse Approximation, Engineering, Interior-Point Methods, QA1-939, FOS: Mathematics, 0101 mathematics, convex minimization, Biology, Economic growth, Numerical Analysis, Numerical Optimization Techniques, Ecology, 4. Education, Iterative Algorithms for Nonlinear Operators and Optimization, Theory and Applications of Compressed Sensing, Algorithm, Regular polygon, Computational Theory and Mathematics, FOS: Biological sciences, Computer Science, Physical Sciences, Convergence (economics), optimization, Type (biology), Mathematics

Prístupová URL adresa: https://doaj.org/article/6615c812d39e40369b4b96c49620c4ce

Super-Resolution Based on Curvelet Transform and Sparse Representation

Autori: Israa Ismail Mohamed Meselhy Eltoukhy Ghada Eltaweel

Zdroj: Computer Systems Science and Engineering. 45:167-181

Predmety: Autofocusing in Microscopy and Photography, Stereo Vision and Depth Estimation, Artificial intelligence, Single Image Super-Resolution Techniques, Image Processing, FOS: Political science, Unsupervised Learning, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Filter (signal processing), Sparse approximation, Engineering, Media Technology, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Similarity (geometry), Political science, Super-Resolution, Scene Reconstruction, 4. Education, Politics, Computer science, Algorithm, Resolution (logic), K-SVD, Computer Science, Physical Sciences, Interpolation (computer graphics), Computer vision, Wavelet transform, Computer Vision and Pattern Recognition, Curvelet, Sparse Representations, Representation (politics), Wavelet, Law, Mathematics

Leveraging Sparse Approximation for Monaural Overlapped Speech Separation From Auditory Perspective

Autori: Hiroshi Sekiguchi Yoshiaki Narusue Hiroyuki Morikawa

Zdroj: IEEE Access, Vol 11, Pp 124748-124759 (2023)

Predmety: sparsity, Deep learning, speech separation, Electrical engineering. Electronics. Nuclear engineering, sparse approximation, TK1-9971

Prístupová URL adresa: https://doaj.org/article/c7919624383b4dd7ad718f46a0097155

Iterative manner involving sunny nonexpansive retractions for nonlinear operators from the perspective of convex programming as applicable to differential problems, image restoration and signal recovery

Autori: Damrongsak Yambangwai Chonjaroen Chairatsiripong Tanakit Thianwan

Zdroj: AIMS Mathematics, Vol 87, Iss 3, Pp 7163-7195 (2023)

Predmety: Metric (unit), Inverse Problems in Mathematical Physics and Imaging, Convex Optimization, Economics, Inverse Problems, Computational Mechanics, Perspective (graphical), Geometry, signal recovery problem, Quantum mechanics, 01 natural sciences, Sparse Approximation, Engineering, Nonlinear programming, QA1-939, FOS: Mathematics, Nonexpansive Mappings, Iterative Algorithms, 0101 mathematics, Mathematical Physics, Economic growth, sunny nonexpansive retract, Banach space, Minification, Physics, Mathematical optimization, Projection (relational algebra), image restoration problem, Pure mathematics, Iterative Algorithms for Nonlinear Operators and Optimization, convexly constrained least square problem, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Convex optimization, Programming language, Regular polygon, Algorithm, Aerospace engineering, Operations management, Computational Theory and Mathematics, SIGNAL (programming language), Physical Sciences, Computer Science, Convergence (economics), Nonlinear system, Differential (mechanical device), convex minimization problem, Mathematics

Prístupová URL adresa: https://doaj.org/article/4b65a65995fd46a58046aa9eb64c4470

Spatially localized sparse approximations of deep features for breast mass characterization

Autori: Chelsea Harris Uchenna Okorie Sokratis Makrogiannis

Zdroj: Math Biosci Eng
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 15859-15882 (2023)

Predmety: mammography, convolutional neural network, Breast Neoplasms, sparse approximation, Article, 3. Good health, deep features, breast mass classification, patch decomposition and reconstruction, QA1-939, Humans, Female, Breast, Diagnosis, Computer-Assisted, Mass Media, TP248.13-248.65, Mathematics, Biotechnology, Mammography

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37919992
https://doaj.org/article/fe5ac17d86794da6ab3bfd5f2261e68e