Adaptive Gaussian Mixture Model-Based Relevant Sample Selection for JITL Soft Sensor Development

Industrial & Engineering Chemistry Research ◽

10.1021/ie5029864 ◽

2014 ◽

Vol 53 (51) ◽

pp. 19979-19986 ◽

Author(s):

Miao Fan ◽

Zhiqiang Ge ◽

Zhihuan Song

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Sample Selection ◽

Gaussian Mixture ◽

Soft Sensor ◽

Sensor Development ◽

Model Based ◽

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Regularization Parameter Selection for Gaussian Mixture Model Based Image Denoising Method

Advances in Computer Science and Ubiquitous Computing - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-10-3023-9_47 ◽

2016 ◽

pp. 291-297

Author(s):

J. W. Zhang ◽

J. Liu ◽

Y. H. Zheng ◽

J. Wang

Keyword(s):

Image Denoising ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Regularization Parameter ◽

Gaussian Mixture ◽

Parameter Selection ◽

Denoising Method ◽

Model Based ◽

Selection For ◽

Regularization Parameter Selection

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Model selection for Gaussian mixture model based on desirability level criterion

Optik ◽

10.1016/j.ijleo.2016.10.125 ◽

2017 ◽

Vol 130 ◽

pp. 797-805 ◽

Author(s):

Weishi Peng

Keyword(s):

Model Selection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Model Based ◽

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A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes

Information Sciences ◽

10.1016/j.ins.2021.09.014 ◽

2021 ◽

Vol 581 ◽

pp. 262-277

Author(s):

Ling Li ◽

Seshu Kumar Damarla ◽

Yalin Wang ◽

Biao Huang

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Industrial Processes ◽

Virtual Sample ◽

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A Gaussian Mixture Model based local search for Differential Evolution Algorithm

2017 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2017.7969531 ◽

2017 ◽

Author(s):

Elaine Guerrero-Pena ◽

Aluizio F.R. Araujo

Keyword(s):

Local Search ◽

Differential Evolution ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Differential Evolution Algorithm ◽

Gaussian Mixture ◽

Model Based ◽

Evolution Algorithm

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Massive MIMO Codebook Design Using Gaussian Mixture Model Based Clustering

Intelligent Automation & Soft Computing ◽

10.32604/iasc.2022.021779 ◽

2022 ◽

Vol 32 (1) ◽

pp. 361-375

Author(s):

S. Markkandan ◽

S. Sivasubramanian ◽

Jaison Mulerikkal ◽

Nazeer Shaik ◽

Beulah Jackson ◽

...

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Massive Mimo ◽

Gaussian Mixture ◽

Model Based Clustering ◽

Codebook Design ◽

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Gaussian Mixture Model based prediction method of movie rating

2016 2nd IEEE International Conference on Computer and Communications (ICCC) ◽

10.1109/compcomm.2016.7925073 ◽

2016 ◽

Author(s):

Jiaxin Zhu ◽

Yijun Guo ◽

Jianjun Hao ◽

Jianfeng Li ◽

Duo Chen

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Prediction Method ◽

Gaussian Mixture ◽

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Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering

Applied Energy ◽

10.1016/j.apenergy.2018.09.050 ◽

2018 ◽

Vol 231 ◽

pp. 331-342 ◽

Author(s):

Kehua Li ◽

Zhenjun Ma ◽

Duane Robinson ◽

Jun Ma

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Hierarchical Clustering ◽

Gaussian Mixture ◽

Model Based Clustering ◽

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Noise spectrum estimation using Gaussian mixture model-based speech presence probability for robust speech recognition

10.21437/interspeech.2014-162 ◽

2014 ◽

Author(s):

M. J. Alam ◽

Patrick Kenny ◽

Pierre Dumouchel ◽

Douglas O'Shaughnessy

Keyword(s):

Speech Recognition ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Noise Spectrum ◽

Robust Speech Recognition ◽

Spectrum Estimation ◽

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Gaussian Mixture Model Based Retrieval Technique for Lossy Compressed Color Images

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-540-74260-9_59 ◽

2007 ◽

pp. 662-673 ◽

Author(s):

Maria Luszczkiewicz ◽

Bogdan Smolka

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Color Images ◽

Model Based ◽

Retrieval Technique

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A Gaussian Mixture Model-based Event-Driven Continuous Boundary Detection in 3D Wireless Sensor Networks

Wireless Sensor Networks: Application-Centric Design ◽

10.5772/12971 ◽

2010 ◽

Author(s):

Jiehui Chen ◽

Mariam B. ◽

Mitsuji Matsumoto

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Boundary Detection ◽

Gaussian Mixture ◽

Wireless Sensor ◽

Model Based ◽

Event Driven ◽

Continuous Boundary

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