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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 103 occurrences of 83 keywords
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Results
Found 344 publication records. Showing 344 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
73 | Spark Y. Xue, Simon X. Yang |
Power system frequency estimation using Supervised Gauss-Newton algorithm. |
SMC |
2007 |
DBLP DOI BibTeX RDF |
|
73 | Xiyuan Chen |
Modeling Temperature Drift of FOG by Improved BP Algorithm and by Gauss-Newton Algorithm. |
ISNN (2) |
2004 |
DBLP DOI BibTeX RDF |
|
69 | Martin Aigner 0002, Bert Jüttler |
Robust fitting of implicitly defined surfaces using Gauss-Newton-type techniques. |
Vis. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Implicitly defined surfaces, General error function, Surface fitting, Gauss-Newton method |
63 | William R. Esposito, Christodoulos A. Floudas |
Gauss-Newton Method: Least Squares, Relation to Newton's Method. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Least squares, Gradient methods, Gauss-Newton method |
63 | Roberto Andreani, José Mario Martínez, Leandro Martínez, Flávio S. Yano |
Continuous optimization methods for structure alignments. |
Math. Program. |
2008 |
DBLP DOI BibTeX RDF |
Protein alignment, Order-value optimization, Continuous optimization, Gauss-Newton method, Structural alignment |
63 | Uwe Helmke, Knut Hüper, Pei Yean Lee, John B. Moore |
Essential Matrix Estimation Using Gauss-Newton Iterations on a Manifold. |
Int. J. Comput. Vis. |
2007 |
DBLP DOI BibTeX RDF |
essential matrix, local quadratic convergence, stereo vision, Riemannian manifold, Newton's method |
56 | Dong Sik Kim, Kiryung Lee |
Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects. |
IEEE Trans. Image Process. |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Monica Hernandez, Salvador Olmos |
Gauss-Newton optimization in Diffeomorphic registration. |
ISBI |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Tong Zhao, Arye Nehorai |
Information-Driven Distributed Maximum Likelihood Estimation Based on Gauss-Newton Method in Wireless Sensor Networks. |
IEEE Trans. Signal Process. |
2007 |
DBLP DOI BibTeX RDF |
|
54 | Wenping Wang, Helmut Pottmann, Yang Liu 0014 |
Fitting B-spline curves to point clouds by curvature-based squared distance minimization. |
ACM Trans. Graph. |
2006 |
DBLP DOI BibTeX RDF |
squared distance, optimization, curve fitting, point cloud, shape reconstruction, quasi-Newton method, B-spline curve, scatter data approximation, Gauss-Newton method, least squares problem |
53 | W. M. Häußler |
A local convergence analysis for the Gauss-Newton and Levenberg-Morrison-Marquardt Algorithms. |
Computing |
1983 |
DBLP DOI BibTeX RDF |
Key word Nonlinear regression, adequate model, Levenberg-Morrison-Marquardt Algorithm, Gauss-Newton Method |
50 | Erich L. Kaltofen, Lihong Zhi |
Hybrid symbolic-numeric computation. |
ISSAC |
2006 |
DBLP DOI BibTeX RDF |
symbolic/numeric hybrid methods |
50 | Nicol N. Schraudolph |
Fast Curvature Matrix-Vector Products. |
ICANN |
2001 |
DBLP DOI BibTeX RDF |
|
49 | Gerhard Starke |
Gauss-Newton Multilevel Methods for Least-Squares Finite Element Computations of Variably Saturated Subsurface Flow. |
Computing |
2000 |
DBLP DOI BibTeX RDF |
AMS Subject Classifications: 65M55, 76S05, 65M60 |
47 | Ladislav Luksan, Ctirad Matonoha, Jan Vlcek |
Algorithm 896: LSA: Algorithms for large-scale optimization. |
ACM Trans. Math. Softw. |
2009 |
DBLP DOI BibTeX RDF |
discrete Newton methods, large-scale nonlinear least squares, large-scale nonlinear minimax, large-scale nonsmooth optimization, large-scale systems of nonlinear equations, limited-memory methods, partially separable problems, primal interior-point methods, sparse problems, quasi-Newton methods, Large-scale optimization |
46 | Weiwei Chen, Xiaopeng Wei, Tingting Zhao |
Product Schemes Evaluation Method Based on Improved BP Neural Network. |
ICIC (2) |
2008 |
DBLP DOI BibTeX RDF |
momentum factorial algorithm, Levengberg-Marquardt algorithm, Gauss-Newton algorithm, AHP, BP |
46 | Tao Feng, Mårten E. Gulliksson, Wenbin Liu |
Adaptive Finite Element Methods for the Identification of Elastic Constants. |
J. Sci. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Gauss-Newton, Parameter estimation, least squares, finite element approximation, adaptive finite element methods |
40 | Martin Aigner 0002, Bert Jüttler |
Gauss-Newton-type techniques for robustly fitting implicitly defined curves and surfaces to unorganized data points. |
Shape Modeling International |
2008 |
DBLP DOI BibTeX RDF |
|
40 | Dong Sik Kim, Kiryung Lee |
Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection. |
ICIP (1) |
2007 |
DBLP DOI BibTeX RDF |
|
40 | Volkan Akcelik, George Biros, Omar Ghattas |
Parallel multiscale Gauss-Newton-Krylov methods for inverse wave propagation. |
SC |
2002 |
DBLP DOI BibTeX RDF |
|
36 | Kenichi Kanatani, Hirotaka Niitsuma |
Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert. |
Comput. Stat. Data Anal. |
2012 |
DBLP DOI BibTeX RDF |
|
33 | Annegret Hoy |
A relation between Newton and Gauss-Newton steps for singular nonlinear equations. |
Computing |
1988 |
DBLP DOI BibTeX RDF |
|
33 | Francisco A. Cubillos, Gonzalo Acuña |
Simulation Studies of On-Line Identification of Complex Processes with Neural Networks. |
ISNN (2) |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Bogdan Dumitrescu |
Optimization of two-dimensional IIR filters with nonseparable and separable denominator. |
IEEE Trans. Signal Process. |
2005 |
DBLP DOI BibTeX RDF |
|
33 | Alexander Andreopoulos, John K. Tsotsos |
A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation. |
SCIA |
2005 |
DBLP DOI BibTeX RDF |
|
33 | Martin Berger, Thomas Auer, Gernot Bachler, Stefan Scherer, Axel Pinz |
3D Model Based Pose Determination in Real-Time: Strategies, Convergence, Accurac. |
ICPR |
2000 |
DBLP DOI BibTeX RDF |
|
33 | Guian Zhou, Jennie Si |
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. |
IEEE Trans. Neural Networks |
1998 |
DBLP DOI BibTeX RDF |
|
32 | Ana M. González, José R. Dorronsoro |
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
30 | Chengxian Xu |
Nonlinear Least Squares: Newton-type Methods. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Full-step Gauss-Newton method, Local convergence rate, Global convergence, Quasi-Newton methods, Newton method, Adaptive methods |
30 | Chengxian Xu |
Generalized Total Least Squares. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Generalized nonlinear least squares, Separable optimization, separated Newton method, Gauss-Newton method |
30 | Iain A. Matthews, Simon Baker |
Active Appearance Models Revisited. |
Int. J. Comput. Vis. |
2004 |
DBLP DOI BibTeX RDF |
Active Blobs, Gauss-Newton gradient descent, inverse compositional image alignment, efficiency, fitting, Active Appearance Models, AAMs, Morphable Models |
30 | Simon Baker, Iain A. Matthews |
Lucas-Kanade 20 Years On: A Unifying Framework. |
Int. J. Comput. Vis. |
2004 |
DBLP DOI BibTeX RDF |
Lucas-Kanade, a unifying framework, additive vs. compositional algorithms, forwards vs. inverse algorithms, the inverse compositional algorithm, Gauss-Newton, Newton, efficiency, image alignment, Levenberg-Marquardt, steepest descent |
30 | Sung Joon Ahn, Wolfgang Rauh, Hyung Suck Cho, Hans-Jürgen Warnecke |
Orthogonal Distance Fitting of Implicit Curves and Surfaces. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2002 |
DBLP DOI BibTeX RDF |
orthogonal distance fitting, geometric distance, orthogonal contacting, parameter constraint, parametric model recovery, parameter estimation, implicit surface, surface fitting, curve fitting, object segmentation, object classification, object reconstruction, nonlinear least squares, implicit curve, Gauss-Newton method |
30 | Andrea Polesel, Giovanni Ramponi, V. John Mathews |
Adaptive Unsharp Masking for Contrast Enhancement. |
ICIP (1) |
1997 |
DBLP DOI BibTeX RDF |
adaptive unsharp masking, image contrast enhancement, image dynamics, noise amplification reduction, smooth areas, adaptive directional filtering, directional characteristics, high-detail areas, medium-detail areas, sharp transitions, adaptive operator, linear highpass filter, adaptive recursive two-dimensional filter, Gauss-Newton algorithm, filter coefficients, image enhancement, experimental results, adaptive algorithm, zooming, image preprocessing |
24 | Kin-Shing D. Cheng, Wenping Wang, Hong Qin 0001, Kwan-Yee Kenneth Wong, Huaiping Yang, Yang Liu 0014 |
Design and Analysis of Optimization Methods for Subdivision Surface Fitting. |
IEEE Trans. Vis. Comput. Graph. |
2007 |
DBLP DOI BibTeX RDF |
squared distance, optimization, subdivision surface, fitting |
24 | Richard I. Hartley |
Globally Optimal Solutions to Vision Using Convex and Quasi-convex Optimization. |
Australian Conference on Artificial Intelligence |
2007 |
DBLP DOI BibTeX RDF |
|
24 | Mariko Nakano-Miyatake, Héctor M. Pérez Meana |
A Fast Orthogonalized FIR Adaptive Filter Structure Using Recurrent Hopfield-Like Network. |
IWANN (1) |
1999 |
DBLP DOI BibTeX RDF |
|
23 | Junjun Zhou, Ningbo Bai, Bo Han, Xiangyun Hu, Tiaojie Xiao, Guoshu Huang, Jianping Li |
Gauss-Newton With Preconditioned Conjugate Gradient Magnetotelluric Inversion for 3-D Axial Anisotropic Conductivities. |
IEEE Trans. Geosci. Remote. Sens. |
2024 |
DBLP DOI BibTeX RDF |
|
23 | Qamrul Hasan Ansari, Moin Uddin, Jen-Chih Yao |
Convergence of the Gauss-Newton method for convex composite optimization problems under majorant condition on Riemannian manifolds. |
J. Complex. |
2024 |
DBLP DOI BibTeX RDF |
|
23 | Felix Dangel, Lukas Tatzel, Philipp Hennig |
ViViT: Curvature Access Through The Generalized Gauss-Newton's Low-Rank Structure. |
Trans. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
23 | Luis A. Arellano-Cruz, Giselle M. Galván-Tejada, Rogelio Lozano |
Position Estimation using the Radical Axis Gauss Newton Algorithm: Experimental Analysis. |
J. Intell. Robotic Syst. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Yang Gou, Xin Fu, Fuqiang Wei |
Broadband Impedance Matching and Residual Vibration Attenuation for Underwater Acoustic Tonpilz Transducers Based on Adaptive Gauss-Newton Algorithm. |
IEEE Trans. Instrum. Meas. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Tengfei Bi, Xiaolu Li 0001, Wenbin Chen, Tao Zhang |
A Gauss-Newton Online Ranging Method Based on Saturated Waveform Compensation of LiDAR. |
IEEE Trans. Instrum. Meas. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner 0002 |
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. |
SIAM J. Sci. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Junzhu Liu, Luping Shen, Guobing Qian |
Maximum Complex Correntropy Criterion Adaptive IIR Filtering Based on Gauss-Newton Approach. |
IEEE Trans. Circuits Syst. II Express Briefs |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Adrian Bürger, Clemens Zeile, Angelika Altmann-Dieses, Sebastian Sager, Moritz Diehl |
A Gauss-Newton-based decomposition algorithm for Nonlinear Mixed-Integer Optimal Control Problems. |
Autom. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | S. Buchwald, G. Ciaramella, J. Salomon |
Gauss-Newton oriented greedy algorithms for the reconstruction of operators in nonlinear dynamics. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui |
Modified Gauss-Newton Algorithms under Noise. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Michael Arbel |
Rethinking Gauss-Newton for learning over-parameterized models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Qingping Zhou, Guixian Xu, Zhexin Wen, Hongqiao Wang |
Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Wenrui Hao, Qingguo Hong, Xianlin Jin, Yiran Wang |
Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Vincent Roulet, Mathieu Blondel |
Dual Gauss-Newton Directions for Deep Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Zhifa Ke, Zaiwen Wen, Junyu Zhang |
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Nazanin Abedini, Svetlana Dubinkina |
Convergence properties of a Gauss-Newton data-assimilation method. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Kemeng Huang, Floyd M. Chitalu, Huancheng Lin, Taku Komura |
Fast and stable Gauss-Newton optimization of IPC barrier energy. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Xiaoqian Liu, Xu Han, Eric C. Chi, Boaz Nadler |
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Ali Gholami |
An extended Gauss-Newton method for full waveform inversion. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl |
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Juze Zhang, Ye Shi 0001, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang |
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Siyun Zhou, Xin Liu 0001, Liwei Xu |
Stochastic Gauss-Newton Algorithms for Online PCA. |
J. Sci. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Alessandro Buccini, Patricia Diaz de Alba, Federica Pes, Lothar Reichel |
An Efficient Implementation of the Gauss-Newton Method Via Generalized Krylov Subspaces. |
J. Sci. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
23 | William Chettleburgh, Zhishen Huang, Ming-Hsuan Yang 0001 |
Fast Robust Principle Component Analysis Using Gauss-Newton Iterations. |
ICASSP |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Yassine Nabou, Lucian Toma, Ion Necoara |
Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis. |
ECC |
2023 |
DBLP BibTeX RDF |
|
23 | Andrea Ghezzi, Léo Simpson, Adrian Bürger, Clemens Zeile, Sebastian Sager, Moritz Diehl |
A Voronoi-Based Mixed-Integer Gauss-Newton Algorithm for MINLP Arising in Optimal Control. |
ECC |
2023 |
DBLP BibTeX RDF |
|
23 | Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl |
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. |
CDC |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Juze Zhang, Ye Shi 0001, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang |
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. |
AAAI |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui |
Modified Gauss-Newton Algorithms under Noise. |
SSP |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Hexun Jiang, Mengfan Fu, Yixiao Zhu, Lilin Yi, Weisheng Hu, Qunbi Zhuge |
Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture. |
OFC |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Federica Pes |
Truncated Minimal-Norm Gauss-Newton Method Applied to the Inversion of FDEM Data. |
ICCSA (Workshops 5) |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Michael Arbel, Romain Menegaux, Pierre Wolinski |
Rethinking Gauss-Newton for learning over-parameterized models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
23 | Tengfei Wang, Jiubing Cheng, Jianhua Geng |
Wave Equation Reflection Traveltime Inversion Using Gauss-Newton Optimization. |
IEEE Geosci. Remote. Sens. Lett. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Rongzhe Zhang, Tonglin Li, Cai Liu, Xingguo Huang, Kristian Jensen, Malte Sommer |
3-D Joint Inversion of Gravity and Magnetic Data Using Data-Space and Truncated Gauss-Newton Methods. |
IEEE Geosci. Remote. Sens. Lett. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Jingyong Tang, Jinchuan Zhou |
A modified damped Gauss-Newton method for non-monotone weighted linear complementarity problems. |
Optim. Methods Softw. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Nikita Zvonarev, Nina Golyandina |
Fast and stable modification of the Gauss-Newton method for low-rank signal estimation. |
Numer. Linear Algebra Appl. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Zhaoxin Wang, Bo Wen |
Stochastic Gauss-Newton algorithm with STORM estimators for nonconvex composite optimization. |
J. Appl. Math. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Mikhail M. Kokurin, Mikhail Yu. Kokurin, Anastasiia V. Semenova |
Iteratively regularized Gauss-Newton type methods for approximating quasi-solutions of irregular nonlinear operator equations in Hilbert space with an application to COVID-19 epidemic dynamics. |
Appl. Math. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Jidong Yang, Jianping Huang, Zhenchun Li, Hejun Zhu, George A. McMechan, Xin Luo |
Approximating the Gauss-Newton Hessian Using a Space-Wavenumber Filter and its Applications in Least-Squares Seismic Imaging. |
IEEE Trans. Geosci. Remote. Sens. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Pieter Pas, Andreas Themelis, Panagiotis Patrinos |
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner 0002 |
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Coralia Cartis, Jaroslav M. Fowkes, Zhen Shao |
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Hossein Zare, Masoud Hajarian |
An efficient Gauss-Newton algorithm for solving regularized total least squares problems. |
Numer. Algorithms |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Amanpreet Kaur, Govind P. Gupta, Sangeeta Mittal |
Energy-Efficient Node Localization Algorithm Based on Gauss-Newton Method and Grey Wolf Optimization Algorithm: Node Localization Algorithm. |
Int. J. Fuzzy Syst. Appl. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Qiuling Yang, Alireza Sadeghi, Gang Wang 0014 |
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks. |
IEEE J. Emerg. Sel. Topics Circuits Syst. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Kamaluddeen Umar Danmalam, Hassan Mohammad, Mohammed Yusuf Waziri |
Structured diagonal Gauss-Newton method for nonlinear least squares. |
Comput. Appl. Math. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Gaurav Mittal, Ankik Kumar Giri |
Convergence rates for iteratively regularized Gauss-Newton method subject to stability constraints. |
J. Comput. Appl. Math. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Zhi Zhao, Xiao-Qing Jin, Teng-Teng Yao |
The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems. |
J. Comput. Appl. Math. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Jonas Zehnder, Stelian Coros, Bernhard Thomaszewski |
SGN: Sparse Gauss-Newton for Accelerated Sensitivity Analysis. |
ACM Trans. Graph. |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Katrin Baumgärtner, Moritz Diehl |
The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control. |
ACC |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Yuetian Luo, Qin Ma 0003, Chi Zhang, Anru R. Zhang |
Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖. |
ICASSP |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Katrin Baumgärtner, Yizhen Wang, Andrea Zanelli, Moritz Diehl |
Fast Nonlinear Model Predictive Control using Barrier Formulations and Squashing with a Generalized Gauss-Newton Hessian. |
CDC |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Marta Colakovic-Benceric, Juraj Persic, Ivan Markovic, Ivan Petrovic |
On Hand-Eye Calibration via On-Manifold Gauss-Newton Optimization. |
IAS |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Mitsuki Itoh, Hiroyuki Kamata |
A Study of Self-position Estimation Method by Lunar Explorer by Selecting Corresponding Points Utilizing Gauss-Newton Method. |
AsiaSim (1) |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Mohammad Jamhuri, Imam Mukhlash, Mohammad Isa Irawan |
Performance Improvement of Logistic Regression for Binary Classification by Gauss-Newton Method. |
ICoMS |
2022 |
DBLP DOI BibTeX RDF |
|
23 | Jörg Fliege, Andrey Tin, Alain B. Zemkoho |
Gauss-Newton-type methods for bilevel optimization. |
Comput. Optim. Appl. |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Ioannis K. Argyros, Stepan Shakhno, Roman Iakymchuk, Halyna Yarmola, Michael I. Argyros |
Gauss-Newton-Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions. |
Axioms |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik |
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition. |
SIAM J. Sci. Comput. |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Mario Zanon |
A Gauss-Newton-Like Hessian Approximation for Economic NMPC. |
IEEE Trans. Autom. Control. |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer |
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. |
IEEE J. Sel. Top. Signal Process. |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer |
Gauss-Newton-Krylov for Reconstruction of Polychromatic X-Ray CT Images. |
IEEE Trans. Computational Imaging |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi |
Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization. |
IEEE Trans. Robotics |
2021 |
DBLP DOI BibTeX RDF |
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