Suchergebnisse - complex noisy expectation minimization algorithm

2D PET Image Reconstruction Using Robust L1 Estimation of the Gaussian Mixture Model.

Autoren: Tafro, Azra Seršić, Damir Sović Kržić, Ana

Quelle: Informatica. 2022, Vol. 33 Issue 4, p653-669. 17p.

Schlagwörter: *GAUSSIAN mixture models, *IMAGE reconstruction, *EXPECTATION-maximization algorithms, *RADIOACTIVE tracers, *IMAGE denoising, *GAMMA rays, *POSITRON emission tomography

Efficient and adaptive T-spline surface fairing using bilateral filter.

Autoren: Li, Ling Wang, Wei Wang, Aizeng

Quelle: Visual Computer; Sep2025, Vol. 41 Issue 12, p10135-10151, 17p

Schlagwörter: SPLINES, COMPUTER-aided design software, ENGINEERING simulations, SURFACE roughness, VECTORS (Calculus)

Nonparametric learning of stochastic differential equations from sparse and noisy data

Autoren: Ganguly, Arnab Mitra, Riten Zhou, Jinpu

Schlagwörter: Machine Learning, Methodology (stat.ME), FOS: Computer and information sciences, 62G05, 62M05, 60H10, 60J60, 46E22, 65C05, 65C35, Probability (math.PR), Methodology, FOS: Mathematics, Machine Learning (stat.ML), Probability, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2508.11597

A multi-scale bottleneck attention and mixup-based domain adaptation misfire diagnostic method for diesel engines under different conditions.

Autoren: Wu, Jinxing Qin, Chengjin Xia, Pengcheng et al.

Quelle: SCIENCE CHINA Technological Sciences; Oct2025, Vol. 68 Issue 10, p1-30, 30p

Image reconstruction in cone beam computed tomography using controlled gradient sparsity.

Autoren: Meaney, Alexander Brix, Mikael A. K. Nieminen, Miika T. et al.

Quelle: Applied Mathematics for Modern Challenges; Mar2025, Vol. 3 Issue 1, p1-26, 26p

Schlagwörter: COMPUTED tomography, TRICUSPID valve surgery, IMAGE reconstruction, REGULARIZATION parameter, INVERSE problems, CONE beam computed tomography, IMAGE reconstruction algorithms

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm.

Autoren: Chouzenoux, Emilie Fest, Jean-Baptiste

Quelle: Journal of Optimization Theory & Applications; Dec2022, Vol. 195 Issue 3, p919-952, 34p

Schlagwörter: ALGORITHMS, IMAGE processing, STOCHASTIC processes, MACHINE learning, IMAGE reconstruction, STOCHASTIC convergence, DIFFERENTIABLE functions

Optimization and Learning Under Uncertainty: Algorithms and Theory for Robust Decision-Making

Autoren: Im, Hyungki

Schlagwörter: Operations research, Optimization Under Uncertainty, Robust Optimization

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/3445v4k5
https://escholarship.org/content/qt3445v4k5/qt3445v4k5.pdf

A mathematical theory of super-resolution and two-point resolution.

Quelle: Forum of Mathematics, Sigma; 2024, Vol. 12, p1-42, 42p

Schlagwörter: SIGNAL-to-noise ratio, ALGORITHMS

k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions.

Autoren: Weinberger, Nir Feder, Meir

Quelle: IEEE Transactions on Information Theory; Nov2020, Vol. 66 Issue 11, p7196-7221, 26p

Schlagwörter: MACHINE learning, POLYHEDRAL functions, SUPPORT vector machines, ALGORITHMS, PARALLEL algorithms, ERROR functions

Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates.

Autoren: Wu, Jwo-Yuh Huang, Liang-Chi Yang, Ming-Hsun et al.

Quelle: IEEE Transactions on Information Theory; Feb2021, Vol. 67 Issue 2, p1216-1263, 48p

Schlagwörter: ALGORITHMS, NEIGHBORS, COMPUTER simulation, SPARSE approximations, PARALLEL algorithms, CLASSIFICATION algorithms

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.

Autoren: Driggs, Derek Junqi Tang Jingwei Liang et al.

Quelle: SIAM Journal on Imaging Sciences; 2021, Vol. 14 Issue 4, p1932-1970, 39p

Schlagwörter: NONSMOOTH optimization, DECONVOLUTION (Mathematics), INFORMATION storage & retrieval systems, MATRIX decomposition, PRINCIPAL components analysis, SPARSE matrices, NONNEGATIVE matrices

Quantum algorithms for quantum dynamics.

Autoren: Miessen A Ollitrault PJ Tacchino F et al.

Quelle: Nature computational science [Nat Comput Sci] 2023 Jan; Vol. 3 (1), pp. 25-37. Date of Electronic Publication: 2022 Dec 30.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: PubMed not MEDLINE; MEDLINE

A Robust hierarchical motion estimation algorithm in noisy image sequences in the bispectrum domain.

Autoren: Ismaili Alaoui, El Ibn-Elhaj, Elhassane

Quelle: Signal, Image & Video Processing; Sep2009, Vol. 3 Issue 3, p291-302, 12p

A Best-Path Approach to the Design of a Hybrid Space–Ground Quantum Network with Dynamic Constraints.

Autoren: Bakker, David L. Jong, Yannick Dirks, Bob P. F. et al.

Quelle: Photonics; Mar2024, Vol. 11 Issue 3, p268, 16p

Schlagwörter: QUANTUM information science, SATELLITE positioning, QUANTUM communication

Fast-convergence superpixel algorithm via an approximate optimization.

Autoren: Nakamura, Kensuke Hong, Byung-Woo

Quelle: Journal of Electronic Imaging; Sep/Oct2016, Vol. 25 Issue 5, p1-10, 10p

Schlagwörter: MACHINE theory, TECHNOLOGY convergence, MATHEMATICAL optimization, ROBUST control, COMPUTATIONAL learning theory

Blind Deconvolution for Poissonian Blurred Image With Total Variation and L 0 -Norm Gradient Regularizations.

Autoren: Dong, Wende Tao, Shuyin Xu, Guili et al.

Quelle: IEEE Transactions on Image Processing; 2021, Vol. 30, p1030-1043, 14p

Schlagwörter: DECONVOLUTION (Mathematics), LAGRANGE multiplier, IMAGE reconstruction, PROBLEM solving

pamlr: A toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic or light data in R.

Autoren: Dhanjal‐Adams, Kiran L. Willener, Astrid S. T. Liechti, Felix

Quelle: Journal of Animal Ecology. Jul2022, Vol. 91 Issue 7, p1345-1360. 16p.

The Inversion: A Manifesto on the Autopoietic Universe and the Architecture of Reality

Autoren: Kulik, Dean

The Maximum Likelihood Ensemble Filter as a non-differentiable minimization algorithm.

Autoren: Zupanski, Milija Navon, I. Michael Zupanski, Dusanka

Quelle: Quarterly Journal of the Royal Meteorological Society; 2008, Vol. 134 Issue 633, p1039-1050, 12p

Low observable group targets detection based on space–frequency cascaded adaptive processing for MIMO OTH radar.

Autoren: Guo, Yiduo Gong, Jian

Quelle: Multidimensional Systems & Signal Processing; Jul2021, Vol. 32 Issue 3, p1005-1026, 22p