Texture segmentation using independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space

Pattern Recognition ◽

10.1016/j.patcog.2010.09.006 ◽

2011 ◽

Vol 44 (3) ◽

pp. 503-518 ◽

Author(s):

Shoudong Han ◽

Wenbing Tao ◽

Xianglin Wu

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Texture Segmentation ◽

Structure Tensor ◽

Tensor Space ◽

Nonlinear Structure ◽

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Color Texture Segmentation by Decomposition of Gaussian Mixture Model

Lecture Notes in Computer Science - Progress in Pattern Recognition, Image Analysis and Applications ◽

10.1007/11892755_29 ◽

2006 ◽

pp. 287-296 ◽

Author(s):

Jiří Grim ◽

Petr Somol ◽

Michal Haindl ◽

Pavel Pudil

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Texture Segmentation ◽

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Texture Segmentation of Urinary Sediment Image based on a Weighted Gaussian Mixture Model with Markov Random Fields

Proceedings of the 2018 7th International Conference on Bioinformatics and Biomedical Science - ICBBS '18 ◽

10.1145/3239264.3239276 ◽

2018 ◽

Author(s):

Xiaoming Jiang ◽

Fuqu Chen ◽

Qianqian Chen ◽

Miaomiao Si ◽

Wei Wang

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Mixture ◽

Texture Segmentation ◽

Urinary Sediment ◽

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A study of regional distributions and dissimilarity measures for multi-scale nonlinear structure tensor in texture segmentation

2012 IEEE International Conference on Industrial Engineering and Engineering Management ◽

10.1109/ieem.2012.6837929 ◽

2012 ◽

Author(s):

Shoudong Han ◽

Yong Zhao ◽

Wenbing Tao

Keyword(s):

Texture Segmentation ◽

Structure Tensor ◽

Nonlinear Structure ◽

Dissimilarity Measures ◽

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Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107086 ◽

2021 ◽

Vol 224 ◽

pp. 107086

Author(s):

Yang Chen ◽

Nami Ashizawa ◽

Chai Kiat Yeo ◽

Naoto Yanai ◽

Seanglidet Yean

Keyword(s):

Intrusion Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Self Organizing Map ◽

Multi Scale ◽

Self Organizing

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Unsupervised change detection using multi-scale and multi-resolution gaussian-mixture-model guided by saliency enhancement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2020.3046838 ◽

2020 ◽

pp. 1-1

Author(s):

Dinghua Xue ◽

Tao Lei ◽

Xiaohong Jia ◽

Xingwu Wang ◽

Tao Chen ◽

...

Keyword(s):

Change Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

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Fabric defect detection based on multi-scale wavelet transform and Gaussian mixture model method

Journal of the Textile Institute ◽

10.1080/00405000.2014.929790 ◽

2014 ◽

Vol 106 (6) ◽

pp. 587-592 ◽

Author(s):

Pengfei Li ◽

Huanhuan Zhang ◽

Junfeng Jing ◽

Renzhong Li ◽

Juan Zhao

Keyword(s):

Wavelet Transform ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Defect Detection ◽

Gaussian Mixture ◽

Multi Scale ◽

Fabric Defect Detection ◽

Model Method ◽

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A New Modified Gaussian Mixture Model for Color-Texture Segmentation

Journal of Computer Science ◽

10.3844/jcssp.2011.279.283 ◽

2011 ◽

Vol 7 (2) ◽

pp. 279-283 ◽

Author(s):

Sujaritha

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Texture Segmentation ◽

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A New Algorithm to Determine Covariance in Statistical Maximum for Gaussian Mixture Model

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e100.a.2834 ◽

2017 ◽

Vol E100.A (12) ◽

pp. 2834-2841 ◽

Author(s):

Daiki AZUMA ◽

Shuji TSUKIYAMA

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Multiresolutional Gaussian Mixture Model for Precise and Stable Foreground Segmentation in Transform Domain

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e92.a.772 ◽

2009 ◽

Vol E92-A (3) ◽

pp. 772-778 ◽

Author(s):

Hiroaki TEZUKA ◽

Takao NISHITANI

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Foreground Segmentation ◽

Transform Domain

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Speaker recognition based on dynamic time warping and Gaussian mixture model

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188632 ◽

2020 ◽

Author(s):

Nannan Zhang ◽

Yanru Yao

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Speaker Recognition ◽

Dynamic Time Warping ◽

Gaussian Mixture ◽

Time Warping ◽

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