Výsledky vyhledávání - non-convex iterative reweighted least squares algorithm

Learning Transition Operators From Sparse Space-Time Samples: Learning transition operators from sparse space-time samples

Autoři: Christian Kümmerle Mauro Maggioni Sui Tang

Zdroj: IEEE Transactions on Information Theory. 70:6412-6446

Témata: Signal theory (characterization, reconstruction, filtering, etc.), FOS: Computer and information sciences, Computer Science - Machine Learning, Toeplitz, Cauchy, and related matrices, non-convex iterative reweighted least squares algorithm, Computer Science - Information Theory, Information Theory (cs.IT), nonlinear inverse problem, Machine Learning (stat.ML), 02 engineering and technology, learning of transition operator from partial observations, block-Hankel matrices, 01 natural sciences, Probabilistic models, generic numerical methods in probability and statistics, Machine Learning (cs.LG), Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0101 mathematics, Mathematics - Optimization and Control, spatio-temporal transition operator recovery

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2212.00746

Sparse signal recovery with prior information by iterative reweighted least squares algorithm.

Autoři: Feng, Nianci Wang, Jianjun Wang, Wendong

Zdroj: Journal of Inverse & Ill-Posed Problems; Apr2018, Vol. 26 Issue 2, p171-184, 14p

Témata: ITERATIVE methods (Mathematics), LEAST squares, REGULARIZATION parameter, NUMERICAL analysis, SPARSE approximations

Nonlinear residual minimization by iteratively reweighted least squares.

Autoři: Sigl, Juliane¹

Zdroj: Computational Optimization & Applications. Jul2016, Vol. 64 Issue 3, p755-792. 38p.

Témata: *STOCHASTIC convergence, NONLINEAR equations, LEAST squares, VECTORS (Calculus), COERCIVE fields (Electronics)

A regularized Cox hierarchical model for incorporating annotation information in predictive omic studies.

Autoři: Shen, Dixin Lewinger, Juan Pablo Kawaguchi, Eric

Zdroj: BioData Mining; 10/24/2024, Vol. 17 Issue 1, p1-20, 20p

Témata: GENE expression profiling, FEATURE selection, REGRESSION analysis, PERFORMANCE standards, PREDICTION models

Non-Lipschitz Variational Models and their Iteratively Reweighted Least Squares Algorithms for Image Denoising on Surfaces.

Autoři: Yuan Liu Chunlin Wu Chao Zeng

Zdroj: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 2, p1255-1283, 29p

Improved Bounds for Subband-Adaptive Iterative Shrinkage/Thresholding Algorithms.

Autoři: Zhang, Yingsong Kingsbury, Nick

Zdroj: IEEE Transactions on Image Processing; Apr2013, Vol. 22 Issue 4, p1373-1381, 9p

Témata: THRESHOLDING algorithms, MATHEMATICAL bounds, ITERATIVE methods (Mathematics), WAVELETS (Mathematics), LEAST squares, DECONVOLUTION (Mathematics)

Coupled image restoration model with non‐convex non‐smooth ℓp wavelet frame and total variation regularisation.

Autoři: Shen, Zhengwei Cheng, Lishuang

Zdroj: IET Image Processing (Wiley-Blackwell); Nov2016, Vol. 10 Issue 11, p926-935, 10p

Adaptively-Regularized Compressive Sensing With Sparsity Bound Learning.

Autoři: Xie, Haihui Wu, Peiran Tan, Fangqing a další

Zdroj: IEEE Communications Letters; Apr2021, Vol. 25 Issue 4, p1283-1287, 5p

A Reweighted Least Squares Approach to QAM Detector for Blind Equalization.

Autoři: Konishi, Katsumi Furukawa, Toshihiro

Zdroj: IEEE Signal Processing Letters; Apr2011, Vol. 18 Issue 4, p259-262, 4p

Témata: LEAST squares, AMPLITUDE modulation, ALGORITHMS, BLIND equalization (Singla processing), MATHEMATICAL programming, MAXIMUM likelihood statistics, SIGNAL processing, EQUALIZERS (Electronics)

Iteratively Reweighted Least Squares Algorithm for Sparse Principal Component Analysis with Application to Voting Records.

Autoři: Masák, Tomáš

Zdroj: Statistika: Statistics & Economy Journal; 2017, Vol. 97 Issue 3, p88-106, 19p

Témata: LEAST squares, PRINCIPAL components analysis, ALGORITHMS

A review on the Adaptive-Ridge Algorithm with several extensions.

Autoři: Abergel, Rémy Bouaziz, Olivier Nuel, Grégory

Zdroj: Statistics & Computing; Aug2024, Vol. 34 Issue 4, p1-36, 36p

Iterative reweighted least squares for matrix rank minimization

Autoři: Karthik Mohan Maryam Fazel The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Karthik Mohan Maryam Fazel The Pennsylvania State University CiteSeerX Archives

Zdroj: http://faculty.washington.edu/mfazel/allerton-IRLS.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.2605

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.2605
http://faculty.washington.edu/mfazel/allerton-IRLS.pdf

On Non-Linear Trajectory Tracking via Variety-Based Background Subtraction Models.

Autoři: Elnakeeb, Amr Mitra, Urbashi

Zdroj: IEEE Transactions on Signal Processing; 2022, Vol. 70, p397-409, 13p

Témata: SUBTRACTION (Mathematics), LEAST squares, ERROR functions, SPARSE matrices, ALGEBRAIC varieties, LOW-rank matrices

$$\ell _p$$ Regularized low-rank approximation via iterative reweighted singular value minimization.

Autoři: Lu, Zhaosong Zhang, Yong Lu, Jian

Zdroj: Computational Optimization & Applications; Dec2017, Vol. 68 Issue 3, p619-642, 24p

Témata: SINGULAR value decomposition, VECTOR analysis, UNIVERSAL algebra, ITERATIVE methods (Mathematics), ALGORITHMS

Laplacian-Uniform Mixture-Driven Iterative Robust Coding With Applications to Face Recognition Against Dense Errors.

Autoři: Zheng, Huicheng Lin, Dajun Lian, Lina a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Sep2020, Vol. 31 Issue 9, p3620-3633, 14p

Témata: HUMAN facial recognition software, ERROR detection (Information theory), ROBUST statistics, ERROR correction (Information theory), CODING theory, APPROXIMATION error, ERROR-correcting codes

GCPOF: a novel optical flow estimation algorithm leveraged by sparse ground control points.

Autoři: Kang, Lai Wei, Yingmei Yang, Zheng a další

Zdroj: Journal of Modern Optics; Sep2016, Vol. 63 Issue 16, p1592-1599, 8p

Témata: OPTICAL flow, ESTIMATION theory, CONTROL theory (Engineering), COMPUTER vision, LEAST squares, ITERATIVE methods (Mathematics)

MSE Analysis of the Iteratively Reweighted Least Squares Algorithm when Applied to M Estimators.

Autoři: Kalyani, S. Giridhar, K.

Zdroj: IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference; 2007, p2873-2877, 5p

Minimizing Nonconvex Functions for Sparse Vector Reconstruction.

Autoři: Mourad, Nasser Reilly, James P.

Zdroj: IEEE Transactions on Signal Processing; Jul2010, Vol. 58 Issue 7, p3485-3496, 12p

Témata: A priori, QUADRATIC programming, LEAST squares, ALGORITHMS, CONVEX programming

Multispectral and Hyperspectral Image Fusion Based on Joint-Structured Sparse Block-Term Tensor Decomposition.

Autoři: Guo, Hao Bao, Wenxing Feng, Wei a další

Zdroj: Remote Sensing; Sep2023, Vol. 15 Issue 18, p4610, 28p

Témata: IMAGE fusion, MULTISPECTRAL imaging, SIGNAL-to-noise ratio, PALMPRINT recognition

A Robust Extreme Learning Machine Based on Adaptive Loss Function for Regression Modeling.

Autoři: Zhang, Fangkun Chen, Shuobo Hong, Zhenqu a další

Zdroj: Neural Processing Letters; Dec2023, Vol. 55 Issue 8, p10589-10612, 24p

Témata: MACHINE learning, REGRESSION analysis, REGULARIZATION parameter, OUTLIER detection