Добірка наукової літератури з теми "Robus fitting"
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Статті в журналах з теми "Robus fitting"
Dunlap, Brett I. "Robust and variational fitting." Physical Chemistry Chemical Physics 2, no. 10 (2000): 2113–16. http://dx.doi.org/10.1039/b000027m.
Повний текст джерелаElsaied, Hanan, and Roland Fried. "ROBUST FITTING OF INARCH MODELS." Journal of Time Series Analysis 35, no. 6 (June 27, 2014): 517–35. http://dx.doi.org/10.1111/jtsa.12079.
Повний текст джерелаYu, Jieqi, Sanjeev R. Kulkarni, and H. Vincent Poor. "Robust ellipse and spheroid fitting." Pattern Recognition Letters 33, no. 5 (April 2012): 492–99. http://dx.doi.org/10.1016/j.patrec.2011.11.025.
Повний текст джерелаDomínguez-Soria, Víctor D., Gerald Geudtner, José Luis Morales, Patrizia Calaminici, and Andreas M. Köster. "Robust and efficient density fitting." Journal of Chemical Physics 131, no. 12 (September 28, 2009): 124102. http://dx.doi.org/10.1063/1.3216476.
Повний текст джерелаLadrón de Guevara, I., J. Muñoz, O. D. de Cózar, and E. B. Blázquez. "Robust Fitting of Circle Arcs." Journal of Mathematical Imaging and Vision 40, no. 2 (December 22, 2010): 147–61. http://dx.doi.org/10.1007/s10851-010-0249-8.
Повний текст джерелаChang, Chung, and R. Todd Ogden. "Robust fitting for neuroreceptor mapping." Statistics in Medicine 28, no. 6 (March 15, 2009): 1004–16. http://dx.doi.org/10.1002/sim.3510.
Повний текст джерелаAigner, Martin, and Bert Jüttler. "Robust fitting of parametric curves." PAMM 7, no. 1 (December 2007): 1022201–2. http://dx.doi.org/10.1002/pamm.200700009.
Повний текст джерелаTew, David P. "Communication: Quasi-robust local density fitting." Journal of Chemical Physics 148, no. 1 (January 7, 2018): 011102. http://dx.doi.org/10.1063/1.5013111.
Повний текст джерелаWelsh, A. H., and A. F. Ruckstuhl. "Robust fitting of the binomial model." Annals of Statistics 29, no. 4 (August 2001): 1117–36. http://dx.doi.org/10.1214/aos/1013699996.
Повний текст джерелаVorobyov, S. A., Yue Rong, N. D. Sidiropoulos, and A. B. Gershman. "Robust iterative fitting of multilinear models." IEEE Transactions on Signal Processing 53, no. 8 (August 2005): 2678–89. http://dx.doi.org/10.1109/tsp.2005.850343.
Повний текст джерелаДисертації з теми "Robus fitting"
Xing, Yanru. "Robust mixture regression model fitting by Laplace distribution." Kansas State University, 2013. http://hdl.handle.net/2097/16534.
Повний текст джерелаDepartment of Statistics
Weixing Song
A robust estimation procedure for mixture linear regression models is proposed in this report by assuming the error terms follow a Laplace distribution. EM algorithm is imple- mented to conduct the estimation procedure of missing information based on the fact that the Laplace distribution is a scale mixture of normal and a latent distribution. Finite sample performance of the proposed algorithm is evaluated by some extensive simulation studies, together with the comparisons made with other existing procedures in this literature. A sensitivity study is also conducted based on a real data example to illustrate the application of the proposed method.
Truong, Ha-Giang. "Robust fitting: Assisted by semantic analysis and reinforcement learning." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2567.
Повний текст джерелаWang, Hanzi. "Robust statistics for computer vision : model fitting, image segmentation and visual motion analysis." Monash University, Dept. of Electrical and Computer Systems Engineering, 2004. http://arrow.monash.edu.au/hdl/1959.1/5345.
Повний текст джерелаYang, Li. "Robust fitting of mixture of factor analyzers using the trimmed likelihood estimator." Kansas State University, 2014. http://hdl.handle.net/2097/18118.
Повний текст джерелаDepartment of Statistics
Weixin Yao
Mixtures of factor analyzers have been popularly used to cluster the high dimensional data. However, the traditional estimation method is based on the normality assumptions of random terms and thus is sensitive to outliers. In this article, we introduce a robust estimation procedure of mixtures of factor analyzers using the trimmed likelihood estimator (TLE). We use a simulation study and a real data application to demonstrate the robustness of the trimmed estimation procedure and compare it with the traditional normality based maximum likelihood estimate.
Mordini, Nicola. "Multicentre study for a robust protocol in single-voxel spectroscopy: quantification of MRS signals by time-domain fitting algorithms." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7579/.
Повний текст джерелаWillersjö, Nyfelt Emil. "Comparison of the 1st and 2nd order Lee–Carter methods with the robust Hyndman–Ullah method for fitting and forecasting mortality rates." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48383.
Повний текст джерелаRelvas, Carlos Eduardo Martins. "Modelos parcialmente lineares com erros simétricos autoregressivos de primeira ordem." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-28052013-182956/.
Повний текст джерелаIn this master dissertation, we present the symmetric partially linear models with AR(1) errors that generalize the normal partially linear models to contain autocorrelated errors AR(1) following a symmetric distribution instead of the normal distribution. Among the symmetric distributions, we can consider heavier tails than the normal ones, controlling the kurtosis and down-weighting outlying observations in the estimation process. The parameter estimation is made through the penalized likelihood by using score functions and the expected Fisher information. We derive these functions in this work. The effective degrees of freedom and asymptotic results are also presented as well as the residual analysis, highlighting the normal curvature of local influence under different perturbation schemes. An application with real data is given for illustration.
Cai, Zhipeng. "Consensus Maximization: Theoretical Analysis and New Algorithms." Thesis, 2020. http://hdl.handle.net/2440/127452.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Computer Science, 2020
Yu, Xinming. "Robust estimation for range image segmentation and fitting." Thesis, 1993. http://spectrum.library.concordia.ca/4144/1/NN84686.pdf.
Повний текст джерелаLe, Huu Minh. "New algorithmic developments in maximum consensus robust fitting." Thesis, 2018. http://hdl.handle.net/2440/115183.
Повний текст джерелаThesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Computer Science, 2018
Книги з теми "Robus fitting"
Weinberg, Jonathan M. Knowledge, Noise, and Curve-Fitting. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198724551.003.0016.
Повний текст джерелаЧастини книг з теми "Robus fitting"
Chin, Tat-Jun, David Suter, Shin-Fang Ch’ng, and James Quach. "Quantum Robust Fitting." In Computer Vision – ACCV 2020, 485–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69525-5_29.
Повний текст джерелаFrühwirth, Rudolf, and Are Strandlie. "Track Fitting." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors, 103–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_6.
Повний текст джерелаFrühwirth, Rudolf, and Are Strandlie. "Vertex Fitting." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors, 143–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_8.
Повний текст джерелаIeng, Sio-Song, Jean-Philippe Tarel, and Pierre Charbonnier. "Evaluation of Robust Fitting Based Detection." In Lecture Notes in Computer Science, 341–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24671-8_27.
Повний текст джерелаEnqvist, Olof, Erik Ask, Fredrik Kahl, and Kalle Åström. "Robust Fitting for Multiple View Geometry." In Computer Vision – ECCV 2012, 738–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33718-5_53.
Повний текст джерелаStorer, Markus, Peter M. Roth, Martin Urschler, Horst Bischof, and Josef A. Birchbauer. "Efficient Robust Active Appearance Model Fitting." In Communications in Computer and Information Science, 229–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11840-1_17.
Повний текст джерелаWang, Hanzi, and David Suter. "Robust Fitting by Adaptive-Scale Residual Consensus." In Lecture Notes in Computer Science, 107–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24672-5_9.
Повний текст джерелаCruz Hernández, Heriberto, and Luis Gerardo de la Fraga. "A Multi-objective Robust Ellipse Fitting Algorithm." In NEO 2016, 141–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64063-1_6.
Повний текст джерелаChai, Dengfeng, and Qunsheng Peng. "Image Feature Detection as Robust Model Fitting." In Computer Vision – ACCV 2006, 673–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11612704_67.
Повний текст джерелаLi, Zhaoxi, Cai Meng, Dingzhe Li, and Limin Liu. "Robust Ellipse Fitting with an Auxiliary Normal." In Lecture Notes in Computer Science, 601–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87355-4_50.
Повний текст джерелаТези доповідей конференцій з теми "Robus fitting"
Liu, Yuqing, Philip Diwakar, Ismat El Jaouhari, and Dan Lin. "Sweeplus®: An Integrated Solution to Pipe Vibration Failures." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93023.
Повний текст джерелаde la Fraga, Luis Gerardo, and Gustavo M. Lopez Dominguez. "Robust fitting of ellipses with heuristics." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586304.
Повний текст джерелаYu, Jieqi, Sanjeev R. Kulkarni, and H. Vincent Poor. "Robust fitting of ellipses and spheroids." In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. IEEE, 2009. http://dx.doi.org/10.1109/acssc.2009.5470160.
Повний текст джерелаGuruswami, Venkatesan, and David Zuckerman. "Robust Fourier and Polynomial Curve Fitting." In 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2016. http://dx.doi.org/10.1109/focs.2016.75.
Повний текст джерела"SIMULTANEOUS ROBUST FITTING OF MULTIPLE CURVES." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002040801750182.
Повний текст джерелаAttila Sarhegyi. "Robust Sine Wave Fitting in ADC Testing." In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.236674.
Повний текст джерелаSarhegyi, Attila, and Istvan Kollar. "Robust Sine Wave Fitting in ADC Testing." In IEEE Instrumentation and Measurement Technology Conference. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.328246.
Повний текст джерелаArellano, Claudia, and Rozenn Dahyot. "Robust Bayesian fitting of 3D morphable model." In the 10th European Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2534008.2534013.
Повний текст джерелаHuang, Weiduo. "Robust Conicoid Fitting in Converting GPS Height." In 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5364106.
Повний текст джерелаHanzi Wang. "Maximum kernel density estimator for robust fitting." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518377.
Повний текст джерелаЗвіти організацій з теми "Robus fitting"
Rahmani, Mehran, Xintong Ji, and Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, September 2022. http://dx.doi.org/10.31979/mti.2022.2033.
Повний текст джерела