Variational Gaussian Process Data Uncertainty

Authors: Jeremy Wong, H. M., Zhang, Huayun, Chen, Nancy F.

Source: 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) Automatic Speech Recognition and Understanding Workshop (ASRU), 2023 IEEE. :1-8 Dec, 2023

Relation: 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals: Domain selection for Gaussian process data: an application to electrocardiogram signals

Authors: Nicolás Hernández, Gabriel Martos

Source: Biom J

Subject Terms: FOS: Computer and information sciences, Biometry, Kullback-Leibler divergence, intervals of local maximum divergence, Normal Distribution, Gaussian processes, domain selection, Signal Processing, Computer-Assisted, 01 natural sciences, Applications of statistics to biology and medical sciences, meta analysis, Methodology (stat.ME), Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, Humans, electrocardiogram signals, 0101 mathematics, Monte Carlo Method, Statistics - Methodology, Research Article

File Description: application/xml

Access URL: https://pubmed.ncbi.nlm.nih.gov/39607307
http://arxiv.org/abs/2306.00538

Gaussian process data fusion for heterogeneous HRTF datasets

Authors: Luo, Yuancheng, Zotkin, Dmitry N., Duraiswami, Ramani

Source: 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013 IEEE Workshop on. :1-4 Oct, 2013

Relation: 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

An Interpretable Robust Stochastic Configuration Network Based on Dual-Gaussian Mixture Distribution

Authors: Li, Qiqi, Liu, Xin, Dai, Wei

Source: 2026 38th Chinese Control and Decision Conference (CCDC) Chinese Control and Decision Conference (CCDC), 2026 38th. :1674-1680 May, 2026

Relation: 2026 38th Chinese Control and Decision Conference (CCDC)

Data-Driven Fault Detection for Nonlinear Non-Gaussian Process Based on Weighted Probabilistic Independent Component Analysis

Authors: Zhang, Yiyang, Shao, Weiming

Source: 2026 38th Chinese Control and Decision Conference (CCDC) Chinese Control and Decision Conference (CCDC), 2026 38th. :5879-5884 May, 2026

Relation: 2026 38th Chinese Control and Decision Conference (CCDC)

G$^{2}$VLO: Accurate and Generic 2D Gaussian Based Visual-LiDAR Odometry

Authors: Tu, D., Cui, H., Tao, P., Liu, Y., Shen, S.

Source: IEEE Robotics and Automation Letters IEEE Robot. Autom. Lett. Robotics and Automation Letters, IEEE. 11(6):6911-6918 Jun, 2026

Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data

Authors: Yao, L., Shao, W., Ge, Z.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 32(8):3330-3341 Aug, 2021

Estimation of Missing Values in Incomplete Industrial Process Data Sets Using ECM Algorithm

Authors: Pirehgalin, Mina Fahimi, Vogel-Heuser, Birgit

Source: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) Industrial Informatics (INDIN), 2018 IEEE 16th International Conference on. :251-257 Jul, 2018

Relation: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

Loss-Based Control Charts for Monitoring Non-Normal Process Data

Authors: Yang, S., Shen, L.

Source: IEEE Access Access, IEEE. 8:91163-91169 2020

Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application

Authors: Sun, Q., Ge, Z.

Source: IEEE Transactions on Industrial Informatics IEEE Trans. Ind. Inf. Industrial Informatics, IEEE Transactions on. 15(5):2700-2709 May, 2019

Adaptive Gaussian Mixture Model-based Variational Autoencoder Network for Process Fault Isolation in Industrial Processes

Authors: Li, S. J., Chen, X. F., Li, H., Ma, M. Y., Liu, P. L., Yu, J. B.

Source: 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2024 IEEE International Conference on. :506-510 Dec, 2024

Relation: 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

Adaptive Reinforcement Learning-Driven Digital Twin for Multiobjective and Multimachine Process Optimization

Authors: Lin, C., Tseng, T., Tsai, T.

Source: IEEE Transactions on Artificial Intelligence IEEE Trans. Artif. Intell. Artificial Intelligence, IEEE Transactions on. 7(8):4291-4310 Aug, 2026

Predictive Analytics of Industrial Quality KPIs Using Scalable Gaussian Mixture Modeling

Authors: Zhai, Xuanming, Tang, Keye, Chen, Ru, Tang, Siyuan, Shen, Bingbing, Jiang, Xiaoyu, Wei, Chihang, Yao, Le

Source: 2024 6th International Conference on Industrial Artificial Intelligence (IAI) Industrial Artificial Intelligence (IAI), 2024 6th International Conference on. :1-6 Aug, 2024

Relation: 2024 6th International Conference on Industrial Artificial Intelligence (IAI)

The Analysis of Average Run Length of Modified Exponential Weighted Moving Average Control Chart using the Markov Chain Approach

Authors: Kraichok, Apitad, Areepong, Yupaporn, Sukparungsee, Saowanit

Source: 2025 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), 2025. :225-231 Aug, 2025

Relation: 2025 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)

Research on Statistical Modeling of Process Data via Wavelet Domain Hidden Markov Model

Authors: Shaoyuan Zhou, Xuemei Zhu

Source: 2006 6th World Congress on Intelligent Control and Automation Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on. 2:5833-5837 2006

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Efficient homography estimation using a recursive algorithm with a mixture of weighted Gaussian kernels

Authors: Hashemzadeh, F. ^{a, b, ⁎, 1}, Kumbasar, T. ^c

Source: In Signal Processing June 2025 231

DEVELOPMENT OF A CASCADE MATHEMATICAL MODEL FOR DIGITAL IMAGE PROCESSING: A SYSTEMS APPROACH.

Alternate Title: РОЗРОБКА КАСКАДНОЇ МАТЕМАТИЧНОЇ МОДЕЛІ ДЛЯ ЦИФРОВОЇ ОБРОБКИ ЗОБРАЖЕНЬ: СИСТЕМНИЙ ПІДХІД. (Ukrainian)

Authors: Rakhmetova, Perizat, Altay, Yeldos

Source: Eastern-European Journal of Enterprise Technologies; 2026, Vol. 3 Issue 9(141), p49-60, 12p

Subject Terms: Image denoising, Mathematical models, Digital image processing, Signal-to-noise ratio, Random noise theory, Computer vision

Statistics manifold learning approach and its application to non-Gaussian process monitoring

Authors: Cui, Ping, Wang, Xuhong, Yang, Yupu

Source: 2020 39th Chinese Control Conference (CCC) Chinese Control Conference (CCC), 2020 39th. :4054-4059 Jul, 2020

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EM Algorithm for Cluster of Multicore Nodes Using Level 3 BLAS Operations to Learn Gaussian Mixture Models

Authors: Kwedlo, Wojciech^Aff11

Contributors: Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Wyrzykowski, Roman, editor^Aff7, Dongarra, Jack, editor^Aff8, Deelman, Ewa, editor^Aff9, Karczewski, Konrad, editor^Aff10

Source: Parallel Processing and Applied Mathematics : 15th International Conference, PPAM 2024, Ostrava, Czech Republic, September 8–11, 2024, Revised Selected Papers, Part III. 15581:128-141

Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring

Authors: Dai, Q., Zhao, C., Huang, B.

Source: IEEE Transactions on Cybernetics IEEE Trans. Cybern. Cybernetics, IEEE Transactions on. 53(8):5094-5107 Aug, 2023