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Data Mining Approach Based on Hierarchical Gaussian Mixture Representation Model.
Publication Type: Academic Journal
Source(s): Intelligent Automation & Soft Computing. 2023, Vol. 35 Issue 3, p3727-3741. 15p.
Abstract: Infinite Gaussian mixture process is a model that computes the Gaussian mixture parameters with order. This process is a probability density distribution with adequate training data that can converge to the input density curve. In this paper, we propos...
Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis.
Publication Type: Academic Journal
Source(s): Discrete Dynamics in Nature & Society. 2/10/2023, p1-11. 11p.
Abstract: The Gaussian mixture model (GMM) is an unsupervised clustering machine learning algorithm. This procedure involves the combination of multiple probability distributions to describe different sample spaces. Principally, the probability density function ...
An Extendable Gaussian Mixture Model for Lane-Based Queue Length Estimation Based on License Plate Recognition Data.
Publication Type: Academic Journal
Source(s): Journal of Advanced Transportation. 12/29/2022, p1-14. 14p.
Abstract: Most existing studies on queue length estimation based on license plate recognition (LPR) data require multisection LPR data. Studies based on single-section LPR data cannot ensure the accuracy and stability of the estimates when missed detections occu...
PREPROCESSING LARGE DATASETS USING GAUSSIAN MIXTURE MODELLING TO IMPROVE PREDICTION ACCURACY OF TRUCK PRODUCTIVITY AT MINE SITES.
Publication Type: Academic Journal
Source(s): Archives of Mining Sciences. 2022, Vol. 67 Issue 4, p661-680. 20p.
Abstract: The historical datasets at operating mine sites are usually large. Directly applying large datasets to build prediction models may lead to inaccurate results. To overcome the real-world challenges, this study aimed to handle these large datasets using ...
Nonlinear Model Order Selection: A GMM Clustering Approach Based on a Genetic Version of EM Algorithm.
Publication Type: Academic Journal
Source(s): Mathematical Problems in Engineering. 12/22/2022, p1-16. 16p.
Abstract: Choosing an accurate model order is one of the important sections in system identification. Traditionally, the model order selection of a nonlinear system depends on a predetermined model. However, it requires excess calculation and is impossible to ge...
Design of Precise Estimation Algorithm for Sports Pose Based on Multifeature Fusion.
Publication Type: Academic Journal
Source(s): Mobile Information Systems. 10/11/2022, p1-9. 9p.
Abstract: The estimation time and estimation precision of motion pose samples are problematic for the pose estimation algorithm of sports movements. This paper proposes a multifeature fusion-based algorithm for accurate posture estimation. The human rod model is...
Resource Sharing Method of Basic Computer Education Based on Mixed Gaussian Model.
Publication Type: Academic Journal
Source(s): Mobile Information Systems. 10/6/2022, p1-9. 9p.
Abstract: This study developed a computer-based basic educational resource sharing method based on a mixed Gaussian model in order to improve the effect of educational resource sharing. Initially, the challenges of educational resource sharing are examined. Then...
Image Segmentation and Target Extraction of Preschool Educational Activity Space for Improving Children's Concentration.
Publication Type: Academic Journal
Source(s): Traitement du Signal. Oct2022, Vol. 39 Issue 5, p1597-1603. 7p.
Abstract: Concentration is crucial for children to nurture good personality and develop well. To observe teachers and children in concentration-oriented preschool education activities, it is necessary to analyze the video images of relevant activities. This pape...
SAR Target Recognition via Monogenic Signal and Gaussian Process Model.
Publication Type: Academic Journal
Source(s): Mathematical Problems in Engineering. 9/13/2022, p1-7. 7p.
Abstract: The monogenic signal and Gaussian process model are applied to synthetic aperture radar (SAR) target recognition. The monogenic signal is used to extract the features of the SAR image. The Gaussian process model is a statistical learning algorithm base...
Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation.
Publication Type: Academic Journal
Source(s): International Transactions on Electrical Energy Systems. 8/31/2022, p1-11. 11p.
Abstract: English translation, also a kind of language conversion, refers to the activities of expressing each other in English to express another language or another language to express English. This paper aimed to evaluate and research methods of English trans...