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Relevant bibliographies by topics / Spline robuste

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Academic literature on the topic 'Spline robuste'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Spline robuste"

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Watters, George, and Alistair J. Hobday. "A new method for estimating the morphometric size at maturity of crabs." Canadian Journal of Fisheries and Aquatic Sciences 55, no. 3 (1998): 704–14. http://dx.doi.org/10.1139/f97-266.

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Existing techniques for estimating the morphometric size at maturity of crabs are based on assumptions that may be unnecessary. Here we demonstrate a new method of detecting changes in relative growth (or allometric) relationships and estimating morphometric size at maturity. This method involves fitting several smoothing splines to relationships between body size and claw size, selecting the "best" spline, and finding this spline's maximum second derivative. The body size where the second derivative of the best spline is maximized estimates the morphometric size at maturity. Monte Carlo simul

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Wang, Bin, Wenzhong Shi, and Zelang Miao. "Comparative Analysis for Robust Penalized Spline Smoothing Methods." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/642475.

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Smoothing noisy data is commonly encountered in engineering domain, and currently robust penalized regression spline models are perceived to be the most promising methods for coping with this issue, due to their flexibilities in capturing the nonlinear trends in the data and effectively alleviating the disturbance from the outliers. Against such a background, this paper conducts a thoroughly comparative analysis of two popular robust smoothing techniques, theM-type estimator andS-estimation for penalized regression splines, both of which are reelaborated starting from their origins, with their

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Takacs, Stefan. "Robust approximation error estimates and multigrid solvers for isogeometric multi-patch discretizations." Mathematical Models and Methods in Applied Sciences 28, no. 10 (2018): 1899–928. http://dx.doi.org/10.1142/s021820251850046x.

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In recent publications, the author and his coworkers have shown robust approximation error estimates for B-splines of maximum smoothness and have proposed multigrid methods based on them. These methods allow to solve the linear system arising from the discretization of a partial differential equation in Isogeometric Analysis in a single-patch setting with convergence rates that are provably robust both in the grid size and the spline degree. In real-world problems, the computational domain cannot be nicely represented by just one B-spline patch. In computer aided design, such domains are typic

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Derevianko, A., E. Luc-Koenig, and F. Masnou-Seeuws. "Application of B-splines in determining the eigenspectrum of diatomic molecules: robust numerical description of halo-state and Feshbach molecules." Canadian Journal of Physics 87, no. 1 (2009): 67–74. http://dx.doi.org/10.1139/p08-075.

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The B-spline basis-set method is applied to determining the rovibrational eigenspectrum of diatomic molecules. Particular attention is paid to a challenging numerical task of an accurate and efficient description of the vibrational levels near the dissociation limit (halo-state and Feshbach molecules). Advantages of using B-splines are highlighted by comparing the performance of the method with that of the commonly used discrete-variable representation (DVR) approach. Several model cases, including the Morse potential and realistic potentials with 1/R3 and 1/R6 long-range dependence of the int

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M. Elgohary, Mervat, Mohamed R. Abonazel, Nahed M. Helmy, and Abeer R. Azazy. "New robust-ridge estimators for partially linear model." International Journal of Applied Mathematical Research 8, no. 2 (2019): 46. http://dx.doi.org/10.14419/ijamr.v8i2.29932.

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This paper considers the partially linear model when the explanatory variables are highly correlated as well as the dataset contains outliers. We propose new robust biased estimators for this model under these conditions. The proposed estimators combine least trimmed squares and ridge estimations, based on the spline partial residuals technique. The performance of the proposed estimators and the Speckman-spline estimator has been examined by a Monte Carlo simulation study. The results indicated that the proposed estimators are more efficient and reliable than the Speckman-spline estimator.

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Averbakh, Igor, and Yun-Bin Zhao. "Robust univariate spline models for interpolating interval data." Operations Research Letters 39, no. 1 (2011): 62–66. http://dx.doi.org/10.1016/j.orl.2010.11.008.

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Zang, Yangyang, and Kaibo Wang. "Robust profile alignment based on penalised-spline smoothing." International Journal of Production Research 57, no. 10 (2018): 2966–83. http://dx.doi.org/10.1080/00207543.2018.1519263.

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Tauber, Clovis, Hadj Batatia, and Alain Ayache. "Robust B-spline Snakes For Ultrasound Image Segmentation." Journal of Signal Processing Systems 54, no. 1-3 (2008): 159–69. http://dx.doi.org/10.1007/s11265-008-0186-6.

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Shirinkam, Sara, Adel Alaeddini, and Elizabeth Gross. "Identifying the number of components in Gaussian mixture models using numerical algebraic geometry." Journal of Algebra and Its Applications 19, no. 11 (2019): 2050204. http://dx.doi.org/10.1142/s0219498820502047.

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Using Gaussian mixture models for clustering is a statistically mature method for clustering in data science with numerous successful applications in science and engineering. The parameters for a Gaussian mixture model (GMM) are typically estimated from training data using the iterative expectation-maximization algorithm, which requires the number of Gaussian components a priori. In this study, we propose two algorithms rooted in numerical algebraic geometry (NAG), namely, an area-based algorithm and a local maxima algorithm, to identify the optimal number of components. The area-based algorit

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He, Baofeng, Haibo Zheng, Ruizhao Yang, and Zhaoyao Shi. "Study on the Performances of an Approximating Spline Filter Based on the ADRF Function in Surface Roughness Evaluation." Applied Sciences 11, no. 2 (2021): 761. http://dx.doi.org/10.3390/app11020761.

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Isotropy is an important feature of an area filter in the three-dimensional surface roughness evaluation. First, the transmission characteristic deviation between the approximating spline filter and the Gaussian filter is reduced by cascading approximating. Second, the approximating spline filter is superimposed on the orthogonal direction to obtain an isotropic areal filter. Then, four direct methods for the solving approximating spline matrix are applied. Based on the profile filtering and areal filtering, the computational efficiency and accuracy are compared. The experimental results show

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Dissertations / Theses on the topic "Spline robuste"

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Tauber, Clovis Ayache Alain. "Filtrage anisotrope robuste et segmentation par B-Spline snake application aux images échographiques /." Toulouse : INP Toulouse, 2006. http://ethesis.inp-toulouse.fr/archive/00000035.

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Tauber, Clovis. "Filtrage anisotrope robuste et segmentation par B-spline snake : application aux images échographiques." Phd thesis, Toulouse, INPT, 2005. http://oatao.univ-toulouse.fr/7357/1/tauber1.pdf.

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Le contexte de ce travail est le traitement d'images échographiques. Plus précisément, on s'est intéressé au filtrage et à la segmentation automatique d'images dégradées par du speckle. La première partie concerne les travaux effectués sur le filtrage du speckle. Ils ont abouti à la conception d'une méthode de diffusion anisotrope robuste, nommée -diffusion. Elle se fonde sur un coefficient de diffusion original qui exploite lui-mˆeme la statistique du coefficient de variation et une adaptation de la fonction de Tukey. Un estimateur robuste du paramètre d'échelle de ce filtre est présenté. L'é

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Bureick, Johannes [Verfasser]. "Robuste Approximation von Laserscan-Profilen mit B-Spline-Kurven / Vorgelegt von Verm.-Ass. Johannes Bureick, M.Sc." München : Verlag der Bayerischen Akademie der Wissenschaften, 2020. http://d-nb.info/1218485647/34.

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Deshpande, Lalita Narhar. "Des algorithmes rapides pour la validation croisée sur des problèmes d'approximation non linéaires." Grenoble 1, 1990. http://tel.archives-ouvertes.fr/tel-00337860.

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Shen, Guoling 1967. "Approximation with interval B-splines for robust reverse engineering." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43456.

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Costa, Giulio. "Design and Optimisation Methods for Structures produced by means of Additive Layer Manufacturing processes." Thesis, Paris, ENSAM, 2018. http://www.theses.fr/2018ENAM0035/document.

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Le développement récent des technologies de fabrication additive par couches (Additive Layer Manufacturing) a généré de nouvelles opportunités en termes de conception. Généralement, une étape d'optimisation topologique est réalisée pour les structures ALM. Cette tâche est aujourd'hui facilitée par des progiciels commerciaux, comme Altair OptiStruct ou Simulia TOSCA. Néanmoins, la liberté accordée par l’ALM est seulement apparente et des problèmes majeurs empêchent une exploitation complète et généralisée de cette technologie.La première lacune importante provient de l'intégration directe du ré

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Ozmen, Ayse. "Robust Conic Quadratic Programming Applied To Quality Improvement -a Robustification Of Cmars." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612513/index.pdf.

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In this thesis, we study and use Conic Quadratic Programming (CQP) for purposes of operational research, especially, for quality improvement in manufacturing. In previous works, the importance and benefit of CQP in this area became already demonstrated. There, the complexity of the regression method Multivariate Adaptive Regression Spline (MARS), which especially means sensitivity with respect to noise in the data, became penalized in the form of so-called Tikhonov regularization, which became expressed and studied as a CQP problem. This was leading to the new method CMARS<br>it is more model-

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Abdel-Salam, Abdel-Salam Gomaa. "Profile Monitoring with Fixed and Random Effects using Nonparametric and Semiparametric Methods." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29387.

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Profile monitoring is a relatively new approach in quality control best used where the process data follow a profile (or curve) at each time period. The essential idea for profile monitoring is to model the profile via some parametric, nonparametric, and semiparametric methods and then monitor the fitted profiles or the estimated random effects over time to determine if there have been changes in the profiles. The majority of previous studies in profile monitoring focused on the parametric modeling of either linear or nonlinear profiles, with both fixed and random effects, under the assumption

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Lin, Yao. "An Efficient Robust Concept Exploration Method and Sequential Exploratory Experimental Design." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4799.

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Experimentation and approximation are essential for efficiency and effectiveness in concurrent engineering analyses of large-scale complex systems. The approximation-based design strategy is not fully utilized in industrial applications in which designers have to deal with multi-disciplinary, multi-variable, multi-response, and multi-objective analysis using very complicated and expensive-to-run computer analysis codes or physical experiments. With current experimental design and metamodeling techniques, it is difficult for engineers to develop acceptable metamodels for irregular responses a

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Mora, Cofré Marco Ayache Alain. "Ensemble de niveaux robustes au speckle et recalage B-spline application à la segmentation et l'analyse du mouvement cardiaque par des images ultrasons /." Toulouse : INP Toulouse, 2008. http://ethesis.inp-toulouse.fr/archive/00000658.

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Books on the topic "Spline robuste"

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Özmen, Ayse. Robust Optimization of Spline Models and Complex Regulatory Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30800-5.

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Özmen, Ayşe. Robust Optimization of Spline Models and Complex Regulatory Networks: Theory, Methods and Applications. Springer, 2018.

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Pevernagie, Dirk. Positive airway pressure therapy. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0017.

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This chapter describes positive airway pressure (PAP) therapy for sleep disordered breathing. Continuous PAP (CPAP) acts as a mechanical splint on the upper airway and is the treatment of choice for moderate to severe obstructive sleep apnea (OSA). Autotitrating CPAP may be used when the pressure demand for stabilizing the upper airway is quite variable. In other cases, fixed CPAP is sufficient. There is robust evidence that CPAP reduces the symptomatic burden and risk of cardiovascular comorbidity in patients with moderate to severe OSA. Bilevel PAP is indicated for treatment of respiratory d

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Frankham, Richard, Jonathan D. Ballou, Katherine Ralls, et al. Is the taxonomy appropriate? Delineating species for conservation purposes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783398.003.0009.

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The first step in conservation management is to delineate groups for separate versus combined management. However, there are many problems with species delineation, including diverse species definitions, lack of standardized protocols, and poor repeatability of delineations. Definitions that are too broad will lead to outbreeding depression if populations are crossed, while those that split excessively may preclude genetic rescue of small inbred populations with low genetic diversity. To minimize these problems, we recommend the use of species concepts based upon reproductive isolation (such a

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Minett, Mark. Robert Altman and the Elaboration of Hollywood Storytelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197523827.001.0001.

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Robert Altman and the Elaboration of Hollywood Storytelling reveals an Altman barely glimpsed in previous critical accounts of the filmmaker. This re-examination of his seminal work during the “Hollywood Renaissance” or “New Hollywood” period of the early 1970s (including M*A*S*H, Brewster McCloud, McCabe & Mrs. Miller, Images, The Long Goodbye, Thieves Like Us, California Split, and Nashville) sheds new light on both the films and the filmmaker, reframing Altman as a complex, pragmatic innovator whose work exceeds, but is also grounded in, the norms of classical Hollywood storytelling rat

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Book chapters on the topic "Spline robuste"

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Guseo, R. "Split-Plot Design: A Robust Analysis." In Advanced Manufacturing Systems and Technology. Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2678-3_103.

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Squartini, Stefano, Emanuele Principi, Simone Cifani, Rudi Rotili, and Francesco Piazza. "Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25775-9_6.

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Dancose, Simon, and Jorge Angeles. "Modelling and Simulation of Flexible Beams using Cubic Splines and Zero-Order Holds." In Robust Control of Linear Systems and Nonlinear Control. Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_55.

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Özmen, Ayşe. "Robust Optimization in Spline Regression Models for Regulatory Networks Under Polyhedral Uncertainty." In Contributions to Management Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30800-5_5.

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Hu, Lingyun, and Zengqi Sun. "A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function." In Advances in Neural Networks — ISNN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427391_90.

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Dragon, Ralf, Jörn Ostermann, and Luc Van Gool. "Robust Realtime Motion-Split-And-Merge for Motion Segmentation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40602-7_45.

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Yan Shan, Ang. "DNA Split Proximity Circuit as a General Platform for Interrogating Biomolecular Events." In Engineering a Robust DNA Circuit for the Direct Detection of Biomolecular Interactions. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2188-7_7.

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Berni, Rossella. "Split-Plot and Robust Designs: Weighting and Optimization in the Multiple Response Case." In Contributions to Statistics. Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2410-0_4.

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Yan Shan, Ang. "DNA Split Proximity Circuit for Visualizing Cell Surface Receptor Clustering—A Case Study Using Human Epidermal Growth Factor Receptor Family." In Engineering a Robust DNA Circuit for the Direct Detection of Biomolecular Interactions. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2188-7_8.

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Simon, Sangeeth, and J. C. Mandal. "A Robust and Accurate Convective-Pressure-Split Approximate Riemann Solver for Computation of Compressible High Speed Flows." In Recent Advances in Theoretical, Applied, Computational and Experimental Mechanics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1189-9_34.

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Conference papers on the topic "Spline robuste"

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Gu, Yu, and Xiaoping Qian. "B-Spline Based Robust Topology Optimization." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46076.

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In this paper, we present an extension of the B-spline based density representation to a robust formulation of topology optimization. In our B-spline based topology optimization approach, we use separate representations for material density distribution and analysis. B-splines are used as a representation of density and the usual finite elements are used for analysis. The density undergoes a Heaviside projection to reduce the grayness in the optimized structures. To ensure minimal length control so the resulting designs are robust with respect to manufacturing imprecision, we adopt a three-str

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Wu, Dan, Kai Niu, and Zhiqiang He. "Robust community detection on dynamic graph." In 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE). IEEE, 2016. http://dx.doi.org/10.1109/splim.2016.7528393.

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Sun, Fangzheng, Yang Liu, and Hao Sun. "Physics-informed Spline Learning for Nonlinear Dynamics Discovery." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/283.

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Dynamical systems are typically governed by a set of linear/nonlinear differential equations. Distilling the analytical form of these equations from very limited data remains intractable in many disciplines such as physics, biology, climate science, engineering and social science. To address this fundamental challenge, we propose a novel Physics-informed Spline Learning (PiSL) framework to discover parsimonious governing equations for nonlinear dynamics, based on sparsely sampled noisy data. The key concept is to (1) leverage splines to interpolate locally the dynamics, perform analytical diff

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Levina, Alla, Gleb Ryaskin, and Igor Zikratov. "Spline-Wavelet Bent Robust Codes." In 2019 Federated Conference on Computer Science and Information Systems. IEEE, 2019. http://dx.doi.org/10.15439/2019f134.

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Cox, N., L. Marconi, and A. R. Teel. "Hybrid internal models for robust spline tracking." In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426043.

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Weng Bin, Pan Ri-jing, Yao Zhi-qiang, Xiao Jun, and Yang Shan-chao. "Robust watermarking for T-spline surfaces based on nonuniform B-spline wavelets transformation." In 2010 IEEE Youth Conference on Information, Computing and Telecommunications (YC-ICT). IEEE, 2010. http://dx.doi.org/10.1109/ycict.2010.5713113.

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Séquin, Carlo H., and Kiha Lee. "Fair and robust circle splines." In the SIGGRAPH 2003 conference. ACM Press, 2003. http://dx.doi.org/10.1145/965400.965415.

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Kalgaonkar, Kaustubh, Michael L. Seltzer, and Alex Acero. "Noise robust model adaptation using linear spline interpolation." In Understanding (ASRU). IEEE, 2009. http://dx.doi.org/10.1109/asru.2009.5373430.

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Ovren, Hannes, and Per-Erik Forssen. "Spline Error Weighting for Robust Visual-Inertial Fusion." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00041.

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Seltzer, Michael L., and Alex Acero. "HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition." In Interspeech 2010. ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-480.

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Reports on the topic "Spline robuste"

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Shen, Andy, Kelin Rumsey, and Devin Francom. TBASS: A Robust Adaptation of Bayesian Adaptive Spline Surfaces. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1671069.

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Shen, Andy, Devin Francom, and Kelin Rumsey. Robust Bayesian Multivariate Adaptive Regression Splines (BMARS). Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1671070.

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Kim, D. Y. A Robust Estimator of Location Using an Adaptive Spline Model. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada153662.

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