A variational component splitting approach for finite generalized Dirichlet mixture models

机译：有限广义Dirichlet混合模型的变分分解方法

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In this paper, a component splitting and local model selection method is proposed to address the mission of learning and selecting generalized Dirichlet (GD) mixture model with feature selection in an incremental variational way. Under the proposed principled variational framework, we simultaneously estimate, in a closed-form, all the involved parameters and determine the complexity (i.e. both model and features selection) of the GD mixture. The effectiveness of the proposed approach is evaluated using synthetic data as well as real a challenging application involving image categorization.

机译：为了解决学习和选择带有增量选择特征的广义Dirichlet（GD）混合模型的任务，提出了一种构件分解和局部模型选择方法。在提出的有原则的变分框架下，我们以封闭形式同时估算所有涉及的参数，并确定GD混合物的复杂度（即模型和特征选择）。使用合成数据以及涉及图像分类的实际挑战性应用来评估所提出方法的有效性。

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来源
《2012 2nd International Conference on Communications and Information Technology》|2012年|p.53- 57|共5页
会议地点 Hammamet(TN)
作者
Wentao Fan; Bouguila Nizar;
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Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada;

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正文语种 eng
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专利

1. Variational learning of finite Dirichlet mixture models using component splitting [J] . Wentao Fan, Nizar Bouguila, Djemel Ziou Neurocomputing . 2014,第apra10期

机译：使用分量分裂的有限Dirichlet混合模型的变分学习
2. Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models [J] . Tarek Elguebaly, Nizar Bouguila Signal processing . 2013,第6期

机译：使用基于RJMCMC的有限广义Dirichlet混合模型学习同时进行贝叶斯聚类和特征选择
3. Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications [J] . Fan Wentao, Sallay Hassen, Bouguila Nizar, Soft computing: A fusion of foundations, methodologies and applications . 2016,第3期

机译：分层无限广义Dirichlet混合模型的变分学习和应用
4. Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach [C] . Kamal Maanicshah, Nizar Bouguila, Wentao Fan IEEE International Symposium on Industrial Electronics . 2019

机译：有限广义逆Dirichlet混合模型的变分学习与分量分裂方法
5. A comparison of generalized linear model, two-part model, and finite mixture model in the estimation of healthcare utilization and expenditures for obese individuals. [D] . Valderrama, Adriana. 2007

机译：在估计肥胖个体的医疗利用和支出方面，采用了广义线性模型，两部分模型和有限混合模型的比较。
6. From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering [O] . Sylvia Frühwirth-Schnatter, Gertraud Malsiner-Walli -1

机译：从这里到无限：基于模型的聚类中的稀疏有限与Dirichlet过程混合
7. Splitting and merging components of a nonconjugate Dirichlet process mixture model [O] . R. M. Neal, Comment On Article Jain, Y. He, 2007

机译：分裂和合并非共轭Dirichlet过程混合物模型的组分
8. Memoized Online Variational Inference for Dirichlet Process Mixture Models. [R] . Hughes, M. C., Sudderth, E. B. 2014

机译：Dirichlet过程混合模型的memoized在线变分推断。

A variational component splitting approach for finite generalized Dirichlet mixture models

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