Unsupervised and Semi-Supervised Learning - Mixture Models and Applications
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Published By Springer International Publishing

9783030238759, 9783030238766

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Gaussian Mixture Model Approach to Classifying Response Types

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_1 ◽

2019 ◽

pp. 3-22

Author(s):

Owen E. Parsons

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Mixture Model Approach ◽

Model Approach

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Online Variational Learning for Medical Image Data Clustering

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_11 ◽

2019 ◽

pp. 235-269

Author(s):

Meeta Kalra ◽

Michael Osadebey ◽

Nizar Bouguila ◽

Marius Pedersen ◽

Wentao Fan

Keyword(s):

Data Clustering ◽

Medical Image ◽

Image Data ◽

Medical Image Data ◽

Variational Learning

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Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_3 ◽

2019 ◽

pp. 39-57 ◽

Cited By ~ 1

Author(s):

Sylvain Calinon

Keyword(s):

Time Series ◽

Mixture Models ◽

Continuous Time

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Deriving Probabilistic SVM Kernels from Exponential Family Approximations to Multivariate Distributions for Count Data

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_7 ◽

2019 ◽

pp. 125-153

Author(s):

Nuha Zamzami ◽

Nizar Bouguila

Keyword(s):

Count Data ◽

Exponential Family ◽

Multivariate Distributions

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Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_10 ◽

2019 ◽

pp. 209-233 ◽

Cited By ~ 1

Author(s):

Kamal Maanicshah ◽

Muhammad Azam ◽

Hieu Nguyen ◽

Nizar Bouguila ◽

Wentao Fan

Keyword(s):

Mixture Models

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Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_8 ◽

2019 ◽

pp. 155-176 ◽

Cited By ~ 1

Author(s):

Masoud Daghyani ◽

Nuha Zamzami ◽

Nizar Bouguila

Keyword(s):

Statistical Inference ◽

Count Data ◽

Data Clustering ◽

Efficient Computation ◽

Likelihood Functions ◽

Log Likelihood

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L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_6 ◽

2019 ◽

pp. 109-123

Author(s):

Wentao Fan ◽

Nizar Bouguila ◽

Yewang Chen ◽

Ziyi Chen

Keyword(s):

Feature Selection ◽

Mixture Model ◽

Data Clustering ◽

Dirichlet Process ◽

Dirichlet Process Mixture ◽

Dirichlet Process Mixture Model ◽

Von Mises

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Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_2 ◽

2019 ◽

pp. 23-38 ◽

Cited By ~ 1

Author(s):

Daniel Berio ◽

Frederic Fol Leymarie ◽

Sylvain Calinon

Keyword(s):

Gaussian Mixtures

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Multivariate Bounded Asymmetric Gaussian Mixture Model

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_4 ◽

2019 ◽

pp. 61-80

Author(s):

Muhammad Azam ◽

Basim Alghabashi ◽

Nizar Bouguila

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Flexible Statistical Learning Model for Unsupervised Image Modeling and Segmentation

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_14 ◽

2019 ◽

pp. 325-348

Author(s):

Ines Channoufi ◽

Fatma Najar ◽

Sami Bourouis ◽

Muhammad Azam ◽

Alrence S. Halibas ◽

...

Keyword(s):

Statistical Learning ◽

Learning Model ◽

Image Modeling

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Unsupervised and Semi-Supervised Learning - Mixture Models and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Gaussian Mixture Model Approach to Classifying Response Types

Online Variational Learning for Medical Image Data Clustering

Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series

Deriving Probabilistic SVM Kernels from Exponential Family Approximations to Multivariate Distributions for Count Data

Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting

Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering

L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Multivariate Bounded Asymmetric Gaussian Mixture Model

Flexible Statistical Learning Model for Unsupervised Image Modeling and Segmentation

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications
Latest Publications