Journal articles on the topic 'Gaussian process mixture model'
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Tayal, Aditya, Pascal Poupart, and Yuying Li. "Hierarchical Double Dirichlet Process Mixture of Gaussian Processes." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1126–33. http://dx.doi.org/10.1609/aaai.v26i1.8309.
Full textSavitsky, Terrance, and Marina Vannucci. "Spiked Dirichlet Process Priors for Gaussian Process Models." Journal of Probability and Statistics 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/201489.
Full textAy, Fahrettin, Gökhan İnce, Mustafa E. Kamaşak, and K. Yavuz Ekşi. "Classification of pulsars with Dirichlet process Gaussian mixture model." Monthly Notices of the Royal Astronomical Society 493, no. 1 (January 17, 2020): 713–22. http://dx.doi.org/10.1093/mnras/staa154.
Full textYu, Jie, and S. Joe Qin. "Multiway Gaussian Mixture Model Based Multiphase Batch Process Monitoring." Industrial & Engineering Chemistry Research 48, no. 18 (September 16, 2009): 8585–94. http://dx.doi.org/10.1021/ie900479g.
Full textChen, Shutian, Qingchao Jiang, and Xuefeng Yan. "Multimodal process monitoring based on transition-constrained Gaussian mixture model." Chinese Journal of Chemical Engineering 28, no. 12 (December 2020): 3070–78. http://dx.doi.org/10.1016/j.cjche.2020.08.021.
Full textZHANG, FENG, and ZHUJUN WENG. "MIXTURE PRINCIPAL COMPONENT ANALYSIS MODEL FOR MULTIVARIATE PROCESSES MONITORING." Journal of Advanced Manufacturing Systems 04, no. 02 (December 2005): 151–66. http://dx.doi.org/10.1142/s0219686705000631.
Full textGuo, Wei, Tianhong Pan, Zhengming Li, and Shan Chen. "Batch process modeling by using temporal feature and Gaussian mixture model." Transactions of the Institute of Measurement and Control 42, no. 6 (December 1, 2019): 1204–14. http://dx.doi.org/10.1177/0142331219887827.
Full textZheng, Junhua, Qiaojun Wen, and Zhihuan Song. "Recursive Gaussian Mixture Models for Adaptive Process Monitoring." Industrial & Engineering Chemistry Research 58, no. 16 (April 2019): 6551–61. http://dx.doi.org/10.1021/acs.iecr.8b06101.
Full textYuhan, Zhao. "Gaussian process mixture model for prediction based on maximum posterior distribution." Journal of Physics: Conference Series 2014, no. 1 (September 1, 2021): 012007. http://dx.doi.org/10.1088/1742-6596/2014/1/012007.
Full textLi, Ling-Ling, Jin Sun, Ching-Hsin Wang, Ya-Tong Zhou, and Kuo-Ping Lin. "Enhanced Gaussian process mixture model for short-term electric load forecasting." Information Sciences 477 (March 2019): 386–98. http://dx.doi.org/10.1016/j.ins.2018.10.063.
Full textTian, Jinkai, Peifeng Yan, and Da Huang. "Kernel Analysis Based on Dirichlet Processes Mixture Models." Entropy 21, no. 9 (September 2, 2019): 857. http://dx.doi.org/10.3390/e21090857.
Full textLi, Zhe, Chen Ma, and Tian-Fan Zhang. "Depth Data Reconstruction Based on Gaussian Mixture Model." Cybernetics and Information Technologies 16, no. 6 (December 1, 2016): 207–19. http://dx.doi.org/10.1515/cait-2016-0089.
Full textMao, Runjun, Chengdong Cao, James Jing Yue Qian, Jiufan Wang, and Yunpeng Liu. "Mixture of Gaussian Processes Based on Bayesian Optimization." Journal of Sensors 2022 (September 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/7646554.
Full textXu, Jiawei, and Qian Luo. "Human action recognition based on mixed gaussian hidden markov model." MATEC Web of Conferences 336 (2021): 06004. http://dx.doi.org/10.1051/matecconf/202133606004.
Full textWei, Hongchuan, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, and Jonathan P. How. "Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models." Automatica 74 (December 2016): 360–68. http://dx.doi.org/10.1016/j.automatica.2016.07.018.
Full textChen, Guang Hua, and Gui Zhi Sheng. "Detection of Moving Objects Based on Mixture Gaussian Model." Advanced Materials Research 1039 (October 2014): 274–79. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.274.
Full textAlfina, Alfina, and Dzulgunar Muhammad Nasir. "Model Identifikasi Pemalsuan Ijazah menggunakan Gabor Wavelet dan Gaussian Mixture Models Super Vektor (GMM-SV)." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (August 29, 2020): 87. http://dx.doi.org/10.35870/jtik.v4i2.142.
Full textChapaneri, Santosh, and Deepak Jayaswal. "Structured Gaussian Process Regression of Music Mood." Fundamenta Informaticae 176, no. 2 (December 18, 2020): 183–203. http://dx.doi.org/10.3233/fi-2020-1970.
Full textYu, Jie, Kuilin Chen, Junichi Mori, and Mudassir M. Rashid. "A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction." Energy 61 (November 2013): 673–86. http://dx.doi.org/10.1016/j.energy.2013.09.013.
Full textCOZZINI, ALBERTO, AJAY JASRA, and GIOVANNI MONTANA. "MODEL-BASED CLUSTERING WITH GENE RANKING USING PENALIZED MIXTURES OF HEAVY-TAILED DISTRIBUTIONS." Journal of Bioinformatics and Computational Biology 11, no. 03 (June 2013): 1341007. http://dx.doi.org/10.1142/s0219720013410072.
Full textRantini, Dwi, Nur Iriawan, and Irhamah Irhamah. "On the Reversible Jump Markov Chain Monte Carlo (RJMCMC) Algorithm for Extreme Value Mixture Distribution as a Location-Scale Transformation of the Weibull Distribution." Applied Sciences 11, no. 16 (August 10, 2021): 7343. http://dx.doi.org/10.3390/app11167343.
Full textOzaki, Tohru, and Mitsunori Iino. "An innovation approach to non-Gaussian time series analysis." Journal of Applied Probability 38, A (2001): 78–92. http://dx.doi.org/10.1239/jap/1085496593.
Full textOzaki, Tohru, and Mitsunori Iino. "An innovation approach to non-Gaussian time series analysis." Journal of Applied Probability 38, A (2001): 78–92. http://dx.doi.org/10.1017/s0021900200112690.
Full textLu, Ziwei, and Hongfei Yu. "Single Image Super-Resolution Algorithm based on Fixed-Point Multi-Model Gaussian Process Regression." Journal of Physics: Conference Series 2289, no. 1 (June 1, 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2289/1/012024.
Full textLi, Zhenglin, Lyudmila S. Mihaylova, Olga Isupova, and Lucile Rossi. "Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model." IEEE Transactions on Industrial Informatics 14, no. 3 (March 2018): 1146–54. http://dx.doi.org/10.1109/tii.2017.2768530.
Full textMcDowell, Ian C., Dinesh Manandhar, Christopher M. Vockley, Amy K. Schmid, Timothy E. Reddy, and Barbara E. Engelhardt. "Clustering gene expression time series data using an infinite Gaussian process mixture model." PLOS Computational Biology 14, no. 1 (January 16, 2018): e1005896. http://dx.doi.org/10.1371/journal.pcbi.1005896.
Full textYi, Junkai, Guanglin Gong, Zeyu Liu, and Yacong Zhang. "Classification of Markov Encrypted Traffic on Gaussian Mixture Model Constrained Clustering." Wireless Communications and Mobile Computing 2021 (October 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/4935108.
Full textGörür, Dilan, and Carl Edward Rasmussen. "Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution." Journal of Computer Science and Technology 25, no. 4 (July 2010): 653–64. http://dx.doi.org/10.1007/s11390-010-9355-8.
Full textChen, Zhongsheng, Yongmin Yang, Zheng Hu, and Qinghu Zeng. "Fault prognosis of complex mechanical systems based on multi-sensor mixtured hidden semi-Markov models." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 8 (November 21, 2012): 1853–63. http://dx.doi.org/10.1177/0954406212467260.
Full textAlimisis, Vassilis, Georgios Gennis, Konstantinos Touloupas, Christos Dimas, Nikolaos Uzunoglu, and Paul P. Sotiriadis. "Nanopower Integrated Gaussian Mixture Model Classifier for Epileptic Seizure Prediction." Bioengineering 9, no. 4 (April 5, 2022): 160. http://dx.doi.org/10.3390/bioengineering9040160.
Full textChakraborty, Biswanath, Siddhartha Bhattacharyya, and Susanta Chakraborty. "Generative Model Based Video Shot Boundary Detection for Automated Surveillance." International Journal of Ambient Computing and Intelligence 9, no. 4 (October 2018): 69–95. http://dx.doi.org/10.4018/ijaci.2018100105.
Full textGani, Prati Hutari, and Gusti Ayu Putri Saptawati. "Pengembangan Model Fast Incremental Gaussian Mixture Network (IGMN) pada Interpolasi Spasial." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 1 (January 25, 2022): 507. http://dx.doi.org/10.30865/mib.v6i1.3490.
Full textKhan, Junaid Bahadar, Tariqullah Jan, Ruhul Amin Khalil, Nasir Saeed, and Muhannad Almutiry. "An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture." Applied Sciences 11, no. 13 (June 27, 2021): 5968. http://dx.doi.org/10.3390/app11135968.
Full textCho, W. H., S. K. Kim, and S. Y. Park. "Human Action Recognition Using Hybrid Method of Hidden Markov Model and Dirichlet Process Gaussian Mixture Model." Advanced Science Letters 23, no. 3 (March 1, 2017): 1652–55. http://dx.doi.org/10.1166/asl.2017.8599.
Full textMulimani, neshwari, and Aziz Makandar. "Sports Video Annotation and Multi- Target Tracking using Extended Gaussian Mixture model." International Journal of Recent Technology and Engineering 10, no. 1 (May 30, 2021): 1–6. http://dx.doi.org/10.35940/ijrte.a5589.0510121.
Full textPAL, AMITA, SMARAJIT BOSE, GOPAL K. BASAK, and AMITAVA MUKHOPADHYAY. "SPEAKER IDENTIFICATION BY AGGREGATING GAUSSIAN MIXTURE MODELS (GMMs) BASED ON UNCORRELATED MFCC-DERIVED FEATURES." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 04 (June 2014): 1456006. http://dx.doi.org/10.1142/s0218001414560060.
Full textNiu, Guochen, Licheng Wang, and Zheng Tan. "Mismatch Removal Based on Gaussian Mixture Model for Aircraft Surface Texture Mapping." Information Technology And Control 49, no. 1 (March 25, 2020): 80–87. http://dx.doi.org/10.5755/j01.itc.49.1.22855.
Full textChen, Tao, Julian Morris, and Elaine Martin. "Probability density estimation via an infinite Gaussian mixture model: application to statistical process monitoring." Journal of the Royal Statistical Society: Series C (Applied Statistics) 55, no. 5 (November 2006): 699–715. http://dx.doi.org/10.1111/j.1467-9876.2006.00560.x.
Full textRajkowski, Łukasz. "Analysis of the Maximal a Posteriori Partition in the Gaussian Dirichlet Process Mixture Model." Bayesian Analysis 14, no. 2 (June 2019): 477–94. http://dx.doi.org/10.1214/18-ba1114.
Full textChoi, Sang Wook, Jin Hyun Park, and In-Beum Lee. "Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis." Computers & Chemical Engineering 28, no. 8 (July 2004): 1377–87. http://dx.doi.org/10.1016/j.compchemeng.2003.09.031.
Full textNafiudin, Iklillurofi Akbar, Rahmat Tofik Hidayat, Ajeng Mustika Putri, and Ahfas Reza Maulana. "DETEKSI JUMLAH KENDARAAN DENGAN ALGORITMA GAUSSIAN MIXTURE MODEL DI AREA JALAN RAYA." METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi 7, no. 1 (March 10, 2021): 37–44. http://dx.doi.org/10.46880/mtk.v7i1.258.
Full textAlameri, Mohammed, Khairunnisa Hasikin, Nahrizul Adib Kadri, Nashrul Fazli Mohd Nasir, Prabu Mohandas, Jerline Sheeba Anni, and Muhammad Mokhzaini Azizan. "Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking." Computational and Mathematical Methods in Medicine 2021 (August 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/6953593.
Full textWang, Wei, Meng Hang Zhang, Shuang Quan Guo, Hui Li, Wei Lv, Jia Rong Yang, and Zong Chang Liu. "Global Performance Estimation Based on Gaussian Mixture Model for Wind Turbines." Applied Mechanics and Materials 670-671 (October 2014): 1033–36. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1033.
Full textXie, Xiang, and Hongbo Shi. "Dynamic Multimode Process Modeling and Monitoring Using Adaptive Gaussian Mixture Models." Industrial & Engineering Chemistry Research 51, no. 15 (April 6, 2012): 5497–505. http://dx.doi.org/10.1021/ie202720y.
Full textYu, Jie, and S. Joe Qin. "Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models." AIChE Journal 54, no. 7 (2008): 1811–29. http://dx.doi.org/10.1002/aic.11515.
Full textSun, J., Gang Yu, and Chang Ning Li. "Bearing Fault Diagnosis Using Gaussian Mixture Models (GMMs)." Applied Mechanics and Materials 10-12 (December 2007): 553–57. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.553.
Full textS, Charles, and Dr L. Arockiam. "Fuzzy Weighted Ordered Weighted Average-Gaussian Mixture Model for Feature Reduction." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (November 30, 2005): 694–712. http://dx.doi.org/10.24297/ijct.v4i2c2.4192.
Full textYang, Bin. "Shared Parts Latent Topic Model for Image Classification." Advanced Materials Research 271-273 (July 2011): 1257–62. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1257.
Full textYang, Wanhui, Hengyu Li, Jingyi Liu, Shaorong Xie, and Jun Luo. "A sea-sky-line detection method based on Gaussian mixture models and image texture features." International Journal of Advanced Robotic Systems 16, no. 6 (November 1, 2019): 172988141989211. http://dx.doi.org/10.1177/1729881419892116.
Full textZhu, Weijin, Yao Shen, Mingqian Liu, and Lizeth Patricia Aguirre Sanchez. "GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model." Computational Intelligence and Neuroscience 2022 (July 18, 2022): 1–13. http://dx.doi.org/10.1155/2022/7254462.
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