Mixture model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Mixture model" in English language version.

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1cdlib.org

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arxiv.org

Yu, Guoshen (2012). "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity". IEEE Transactions on Image Processing. 21 (5): 2481–2499. arXiv:1006.3056. Bibcode:2012ITIP...21.2481G. doi:10.1109/tip.2011.2176743. PMID 22180506. S2CID 479845.
Myronenko, Andriy; Song, Xubo (2010). "Point set registration: Coherent point drift". IEEE Trans. Pattern Anal. Mach. Intell. 32 (12): 2262–2275. arXiv:0905.2635. doi:10.1109/TPAMI.2010.46. PMID 20975122. S2CID 10809031.
Améndola, Carlos; et al. (2015). "Moment varieties of Gaussian mixtures". Journal of Algebraic Statistics. 7. arXiv:1510.04654. Bibcode:2015arXiv151004654A. doi:10.18409/jas.v7i1.42. S2CID 88515304.

cdlib.org

repositories.cdlib.org

Dinov, ID. "Expectation Maximization and Mixture Modeling Tutorial". California Digital Library, Statistics Online Computational Resource, Paper EM_MM, http://repositories.cdlib.org/socr/EM_MM, December 9, 2008

doi.org

Chatzis, Sotirios P.; Kosmopoulos, Dimitrios I.; Varvarigou, Theodora A. (2008). "Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions". IEEE Transactions on Signal Processing. 56 (3): 949–963. Bibcode:2008ITSP...56..949C. doi:10.1109/TSP.2007.907912. S2CID 15583243.
Yu, Guoshen (2012). "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity". IEEE Transactions on Image Processing. 21 (5): 2481–2499. arXiv:1006.3056. Bibcode:2012ITIP...21.2481G. doi:10.1109/tip.2011.2176743. PMID 22180506. S2CID 479845.
Amruthnath, Nagdev; Gupta, Tarun (2018-02-02). Fault Class Prediction in Unsupervised Learning using Model-Based Clustering Approach. Unpublished. doi:10.13140/rg.2.2.22085.14563.
Amruthnath, Nagdev; Gupta, Tarun (2018-02-01). A Research Study on Unsupervised Machine Learning Algorithms for Fault Detection in Predictive Maintenance. Unpublished. doi:10.13140/rg.2.2.28822.24648.
Shen, Jianhong (Jackie) (2006). "A stochastic-variational model for soft Mumford-Shah segmentation". International Journal of Biomedical Imaging. 2006: 2–16. Bibcode:2006IJBI.200649515H. doi:10.1155/IJBI/2006/92329. PMC 2324060. PMID 23165059.
Myronenko, Andriy; Song, Xubo (2010). "Point set registration: Coherent point drift". IEEE Trans. Pattern Anal. Mach. Intell. 32 (12): 2262–2275. arXiv:0905.2635. doi:10.1109/TPAMI.2010.46. PMID 20975122. S2CID 10809031.
Ravikumar, Nishant; Gooya, Ali; Cimen, Serkan; Frangi, Alexjandro; Taylor, Zeike (2018). "Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models". Med. Image Anal. 44: 156–176. doi:10.1016/j.media.2017.11.012. PMID 29248842.
Bayer, Siming; Ravikumar, Nishant; Strumia, Maddalena; Tong, Xiaoguang; Gao, Ying; Ostermeier, Martin; Fahrig, Rebecca; Maier, Andreas (2018). "Intraoperative brain shift compensation using a hybrid mixture model". Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Granada, Spain: Springer, Cham. pp. 116–124. doi:10.1007/978-3-030-00937-3_14.
Figueiredo, M.A.T.; Jain, A.K. (March 2002). "Unsupervised Learning of Finite Mixture Models". IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (3): 381–396. CiteSeerX 10.1.1.362.9811. doi:10.1109/34.990138.
Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data via the EM Algorithm". Journal of the Royal Statistical Society, Series B. 39 (1): 1–38. CiteSeerX 10.1.1.163.7580. doi:10.1111/j.2517-6161.1977.tb01600.x. JSTOR 2984875.
Xu, L.; Jordan, M.I. (January 1996). "On Convergence Properties of the EM Algorithm for Gaussian Mixtures". Neural Computation. 8 (1): 129–151. doi:10.1162/neco.1996.8.1.129. hdl:10338.dmlcz/135225. S2CID 207714252.
Botev, Z.I.; Kroese, D.P. (2004). "Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models". Proceedings of the 2004 Winter Simulation Conference, 2004. Vol. 1. pp. 517–523. CiteSeerX 10.1.1.331.2319. doi:10.1109/WSC.2004.1371358. ISBN 978-0-7803-8786-7. S2CID 6880171.
Day, N. E. (1969). "Estimating the Components of a Mixture of Normal Distributions". Biometrika. 56 (3): 463–474. doi:10.2307/2334652. JSTOR 2334652.
Améndola, Carlos; et al. (2015). "Moment varieties of Gaussian mixtures". Journal of Algebraic Statistics. 7. arXiv:1510.04654. Bibcode:2015arXiv151004654A. doi:10.18409/jas.v7i1.42. S2CID 88515304.

handle.net

hdl.handle.net

Xu, L.; Jordan, M.I. (January 1996). "On Convergence Properties of the EM Algorithm for Gaussian Mixtures". Neural Computation. 8 (1): 129–151. doi:10.1162/neco.1996.8.1.129. hdl:10338.dmlcz/135225. S2CID 207714252.

harvard.edu

ui.adsabs.harvard.edu

Chatzis, Sotirios P.; Kosmopoulos, Dimitrios I.; Varvarigou, Theodora A. (2008). "Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions". IEEE Transactions on Signal Processing. 56 (3): 949–963. Bibcode:2008ITSP...56..949C. doi:10.1109/TSP.2007.907912. S2CID 15583243.
Yu, Guoshen (2012). "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity". IEEE Transactions on Image Processing. 21 (5): 2481–2499. arXiv:1006.3056. Bibcode:2012ITIP...21.2481G. doi:10.1109/tip.2011.2176743. PMID 22180506. S2CID 479845.
Shen, Jianhong (Jackie) (2006). "A stochastic-variational model for soft Mumford-Shah segmentation". International Journal of Biomedical Imaging. 2006: 2–16. Bibcode:2006IJBI.200649515H. doi:10.1155/IJBI/2006/92329. PMC 2324060. PMID 23165059.
Améndola, Carlos; et al. (2015). "Moment varieties of Gaussian mixtures". Journal of Algebraic Statistics. 7. arXiv:1510.04654. Bibcode:2015arXiv151004654A. doi:10.18409/jas.v7i1.42. S2CID 88515304.
McLachlan, G.J.; Basford, K.E. (1988), "Mixture Models: inference and applications to clustering", Statistics: Textbooks and Monographs, Bibcode:1988mmia.book.....M

jstor.org

Spall, J. C. and Maryak, J. L. (1992). "A feasible Bayesian estimator of quantiles for projectile accuracy from non-i.i.d. data." Journal of the American Statistical Association, vol. 87 (419), pp. 676–681. JSTOR 2290205
Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data via the EM Algorithm". Journal of the Royal Statistical Society, Series B. 39 (1): 1–38. CiteSeerX 10.1.1.163.7580. doi:10.1111/j.2517-6161.1977.tb01600.x. JSTOR 2984875.
Day, N. E. (1969). "Estimating the Components of a Mixture of Normal Distributions". Biometrika. 56 (3): 463–474. doi:10.2307/2334652. JSTOR 2334652.

miccai2018.org

Bayer, Siming; Ravikumar, Nishant; Strumia, Maddalena; Tong, Xiaoguang; Gao, Ying; Ostermeier, Martin; Fahrig, Rebecca; Maier, Andreas (2018). "Intraoperative brain shift compensation using a hybrid mixture model". Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Granada, Spain: Springer, Cham. pp. 116–124. doi:10.1007/978-3-030-00937-3_14.

misys.com

McWilliam, N.; Loh, K. (2008), Incorporating Multidimensional Tail-Dependencies in the Valuation of Credit Derivatives (Working Paper) [1]

nih.gov

pubmed.ncbi.nlm.nih.gov

Yu, Guoshen (2012). "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity". IEEE Transactions on Image Processing. 21 (5): 2481–2499. arXiv:1006.3056. Bibcode:2012ITIP...21.2481G. doi:10.1109/tip.2011.2176743. PMID 22180506. S2CID 479845.
Shen, Jianhong (Jackie) (2006). "A stochastic-variational model for soft Mumford-Shah segmentation". International Journal of Biomedical Imaging. 2006: 2–16. Bibcode:2006IJBI.200649515H. doi:10.1155/IJBI/2006/92329. PMC 2324060. PMID 23165059.
Myronenko, Andriy; Song, Xubo (2010). "Point set registration: Coherent point drift". IEEE Trans. Pattern Anal. Mach. Intell. 32 (12): 2262–2275. arXiv:0905.2635. doi:10.1109/TPAMI.2010.46. PMID 20975122. S2CID 10809031.
Ravikumar, Nishant; Gooya, Ali; Cimen, Serkan; Frangi, Alexjandro; Taylor, Zeike (2018). "Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models". Med. Image Anal. 44: 156–176. doi:10.1016/j.media.2017.11.012. PMID 29248842.

ncbi.nlm.nih.gov

Shen, Jianhong (Jackie) (2006). "A stochastic-variational model for soft Mumford-Shah segmentation". International Journal of Biomedical Imaging. 2006: 2–16. Bibcode:2006IJBI.200649515H. doi:10.1155/IJBI/2006/92329. PMC 2324060. PMID 23165059.

psu.edu

citeseerx.ist.psu.edu

Figueiredo, M.A.T.; Jain, A.K. (March 2002). "Unsupervised Learning of Finite Mixture Models". IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (3): 381–396. CiteSeerX 10.1.1.362.9811. doi:10.1109/34.990138.
Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data via the EM Algorithm". Journal of the Royal Statistical Society, Series B. 39 (1): 1–38. CiteSeerX 10.1.1.163.7580. doi:10.1111/j.2517-6161.1977.tb01600.x. JSTOR 2984875.
Botev, Z.I.; Kroese, D.P. (2004). "Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models". Proceedings of the 2004 Winter Simulation Conference, 2004. Vol. 1. pp. 517–523. CiteSeerX 10.1.1.331.2319. doi:10.1109/WSC.2004.1371358. ISBN 978-0-7803-8786-7. S2CID 6880171.

researchgate.net

Amruthnath, Nagdev; Gupta, Tarun (2018-02-02). Fault Class Prediction in Unsupervised Learning using Model-Based Clustering Approach. Unpublished. doi:10.13140/rg.2.2.22085.14563.
Amruthnath, Nagdev; Gupta, Tarun (2018-02-01). A Research Study on Unsupervised Machine Learning Algorithms for Fault Detection in Predictive Maintenance. Unpublished. doi:10.13140/rg.2.2.28822.24648.

semanticscholar.org

api.semanticscholar.org

Chatzis, Sotirios P.; Kosmopoulos, Dimitrios I.; Varvarigou, Theodora A. (2008). "Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions". IEEE Transactions on Signal Processing. 56 (3): 949–963. Bibcode:2008ITSP...56..949C. doi:10.1109/TSP.2007.907912. S2CID 15583243.
Yu, Guoshen (2012). "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity". IEEE Transactions on Image Processing. 21 (5): 2481–2499. arXiv:1006.3056. Bibcode:2012ITIP...21.2481G. doi:10.1109/tip.2011.2176743. PMID 22180506. S2CID 479845.
Myronenko, Andriy; Song, Xubo (2010). "Point set registration: Coherent point drift". IEEE Trans. Pattern Anal. Mach. Intell. 32 (12): 2262–2275. arXiv:0905.2635. doi:10.1109/TPAMI.2010.46. PMID 20975122. S2CID 10809031.
Xu, L.; Jordan, M.I. (January 1996). "On Convergence Properties of the EM Algorithm for Gaussian Mixtures". Neural Computation. 8 (1): 129–151. doi:10.1162/neco.1996.8.1.129. hdl:10338.dmlcz/135225. S2CID 207714252.
Botev, Z.I.; Kroese, D.P. (2004). "Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models". Proceedings of the 2004 Winter Simulation Conference, 2004. Vol. 1. pp. 517–523. CiteSeerX 10.1.1.331.2319. doi:10.1109/WSC.2004.1371358. ISBN 978-0-7803-8786-7. S2CID 6880171.
Améndola, Carlos; et al. (2015). "Moment varieties of Gaussian mixtures". Journal of Algebraic Statistics. 7. arXiv:1510.04654. Bibcode:2015arXiv151004654A. doi:10.18409/jas.v7i1.42. S2CID 88515304.