Статті в журналах з теми "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.
Повний текст джерелаSavitsky, 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.
Повний текст джерелаAy, 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.
Повний текст джерелаYu, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаZHANG, 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.
Повний текст джерелаGuo, 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.
Повний текст джерелаZheng, 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.
Повний текст джерелаYuhan, 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.
Повний текст джерелаLi, 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.
Повний текст джерелаTian, 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.
Повний текст джерелаLi, 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.
Повний текст джерелаMao, 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.
Повний текст джерелаXu, 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.
Повний текст джерелаWei, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаAlfina, 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.
Повний текст джерелаChapaneri, 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.
Повний текст джерелаYu, 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.
Повний текст джерелаCOZZINI, 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.
Повний текст джерелаRantini, 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.
Повний текст джерелаOzaki, 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.
Повний текст джерелаOzaki, 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.
Повний текст джерелаLu, 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.
Повний текст джерелаLi, 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.
Повний текст джерелаMcDowell, 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.
Повний текст джерелаYi, 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.
Повний текст джерелаGörür, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаAlimisis, 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.
Повний текст джерелаChakraborty, 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.
Повний текст джерелаGani, 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.
Повний текст джерелаKhan, 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.
Повний текст джерелаCho, 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.
Повний текст джерелаMulimani, 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.
Повний текст джерелаPAL, 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.
Повний текст джерелаNiu, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаRajkowski, 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.
Повний текст джерелаChoi, 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.
Повний текст джерелаNafiudin, 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.
Повний текст джерелаAlameri, 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.
Повний текст джерелаWang, 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.
Повний текст джерелаXie, 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.
Повний текст джерелаYu, 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.
Повний текст джерелаSun, 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.
Повний текст джерелаS, 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.
Повний текст джерелаYang, 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.
Повний текст джерелаYang, 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.
Повний текст джерелаZhu, 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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