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Non-parametric Mixture Model Based Evolution of Level Sets
Advances in Intelligent Information Processing - Statistical Science and Interdisciplinary Research
◽
10.1142/9789812818997_0001
◽
2008
◽
pp. 1-17
◽
Cited By ~ 1
Author(s):
Niranjan Joshi
◽
Michael Brady
Keyword(s):
Mixture Model
◽
Level Sets
◽
Model Based
◽
Non Parametric
Download Full-text
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Cited By
References
Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images
International Journal of Computer Vision
◽
10.1007/s11263-009-0290-5
◽
2009
◽
Vol 88
(1)
◽
pp. 52-68
◽
Cited By ~ 15
Author(s):
Niranjan Joshi
◽
Michael Brady
Keyword(s):
Mixture Model
◽
Level Sets
◽
Medical Images
◽
Model Based
◽
Non Parametric
Download Full-text
Non-parametric Mixture Model Based Evolution of Level Sets
2007 International Conference on Computing: Theory and Applications (ICCTA'07)
◽
10.1109/iccta.2007.95
◽
2007
◽
Cited By ~ 2
Author(s):
Niranjan Joshi
◽
Michael Brady
Keyword(s):
Mixture Model
◽
Level Sets
◽
Model Based
◽
Non Parametric
Download Full-text
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
IEEE Transactions on Evolutionary Computation
◽
10.1109/tevc.2020.3034769
◽
2020
◽
pp. 1-1
Author(s):
Xiaoyu He
◽
Zibin Zheng
◽
Yuren Zhou
Keyword(s):
Mixture Model
◽
Large Scale
◽
Evolution Strategy
◽
Large Scale Optimization
◽
Model Based
◽
Scale Optimization
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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
◽
Model Based
Download Full-text
Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm
Pattern Recognition
◽
10.1016/j.patcog.2018.10.025
◽
2019
◽
Vol 87
◽
pp. 269-284
◽
Cited By ~ 8
Author(s):
Chi Liu
◽
Heng-Chao Li
◽
Kun Fu
◽
Fan Zhang
◽
Mihai Datcu
◽
...
Keyword(s):
Em Algorithm
◽
Bayesian Estimation
◽
Mixture Model
◽
Model Based
◽
Generalized Gamma
◽
Variational Em
◽
Variational Em Algorithm
Download Full-text
A mixture model-based cluster analysis of DNA microarray gene expression data on Brahman and Brahman composite steers fed high-, medium-, and low-quality diets1
Journal of Animal Science
◽
10.2527/2003.8181900x
◽
2003
◽
Vol 81
(8)
◽
pp. 1900-1910
◽
Cited By ~ 40
Author(s):
A. Reverter
◽
K. A. Byrne
◽
H. L. Bruce
◽
Y. H. Wang
◽
B. P. Dalrymple
◽
...
Keyword(s):
Gene Expression
◽
Cluster Analysis
◽
Mixture Model
◽
Dna Microarray
◽
Gene Expression Data
◽
Microarray Gene Expression Data
◽
Expression Data
◽
Microarray Gene Expression
◽
Model Based
◽
Microarray Gene
Download Full-text
A Gaussian Mixture Model based local search for Differential Evolution Algorithm
2017 IEEE Congress on Evolutionary Computation (CEC)
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10.1109/cec.2017.7969531
◽
2017
◽
Cited By ~ 2
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
Download Full-text
A mixture model-based real-time audio sources classification method
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2017.7952592
◽
2017
◽
Cited By ~ 3
Author(s):
Maxime Baelde
◽
Christophe Biernacki
◽
Raphael Greff
Keyword(s):
Real Time
◽
Mixture Model
◽
Classification Method
◽
Model Based
Download Full-text
Normal Mixture Model-Based Clustering of Data Using Genetic Algorithm
Artificial Intelligence and Applied Mathematics in Engineering Problems - Lecture Notes on Data Engineering and Communications Technologies
◽
10.1007/978-3-030-36178-5_43
◽
2020
◽
pp. 539-543
Author(s):
Maruf Gogebakan
◽
Hamza Erol
Keyword(s):
Genetic Algorithm
◽
Mixture Model
◽
Normal Mixture
◽
Model Based Clustering
◽
Model Based
◽
Normal Mixture Model
Download Full-text
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers
Lecture Notes in Computer Science - Dynamic Data Driven Applications Systems
◽
10.1007/978-3-030-61725-7_31
◽
2020
◽
pp. 262-273
Author(s):
Xi Li
◽
David J. Miller
◽
Zhen Xiang
◽
George Kesidis
Keyword(s):
Mixture Model
◽
Model Based
Download Full-text
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