Results 1 to 10 of about 33,735 (168)
A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects [PDF]
Scientific ReportsEnvironmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection.
Jie-zhong Huang +4 more
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Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) dan Fuzzy Cluster K Means (FCM)
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2015 This paper describes how to record a moving object and save as new video files (* .avi), then filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution.
Fitroh Amaluddin +2 more
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GAT–GMM: Generative Adversarial Training for Gaussian Mixture Models
SIAM Journal on Mathematics of Data Science, 2023 Generative adversarial networks (GANs) learn the distribution of observed samples through a zero-sum game between two machine players, a generator and a discriminator. While GANs achieve great success in learning the complex distribution of image, sound, and text data, they perform suboptimally in learning multi-modal distribution-learning benchmarks ...
Farzan Farnia +3 more
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Applied Sciences, 2023 Background: Functional movement screening (FMS) allows for the rapid assessment of an individual’s physical activity level and the timely detection of sports injury risk.
Ruiwei Hong +3 more
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Antenna Classification Using Gaussian Mixture Models (GMM) and Machine Learning [PDF]
IEEE Open Journal of Antennas and Propagation, 2020 Radio frequency fingerprinting (RFF) is the concept arising from classification of wireless emitters due to their unique radio frequency features. RFF has been further extended to applications including both RF devices classification and wireless signal identification.
Yihan Ma, Yang Hao
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Feature compensation based on independent noise estimation for robust speech recognition
EURASIP Journal on Audio, Speech, and Music Processing, 2021 In this paper, we propose a novel feature compensation algorithm based on independent noise estimation, which employs a Gaussian mixture model (GMM) with fewer Gaussian components to rapidly estimate the noise parameters from the noisy speech and monitor
Yong Lü +3 more
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Detection of Health Data Based on Gaussian Mixture Generative Model [PDF]
Jisuanji kexue yu tansuo, 2022 Sports bracelet provides rich information for a comprehensive understanding of people’s physical health in the context of the popularity of smart wearable devices.
ZHU Zhuangzhuang, ZHOU Zhiping
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Research on Click-Through Rate Prediction of Advertisement Based on GMM-FMs [PDF]
Jisuanji gongcheng, 2019 The traditional single model is one-sided in predicting the Click-Through Rate(CTR) of advertisement,and the data of advertisement log is sparse.To solve this problem,a GMM-FMs model for predicting advertisement CTR is established by combining the ...
DENG Lujia,LIU Pingshan
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Offline Signature Verification System with Gaussian Mixture Models (GMM) [PDF]
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013 Gaussian Mixture Models (GMMs) has been proposed for off-line signature verification. The individual Gaussian components are shown to represent some global features such as skewness, kurtosis, etc. that characterize various aspects of a signature, and are effective for modeling its specificity.
Charu Jain, Priti Singh, Preeti Rana
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Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
Sensors, 2021 This paper proposes a Gaussian mixture model-based (GMM) bearing fault band selection (GMM-WBBS) method for signal processing. The proposed method benefits reliable feature extraction using fault frequency oriented Gaussian mixture model (GMM) window ...
Andrei S. Maliuk +4 more
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