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1 Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures

机译：1高斯混合物的同时局部特征选择和模型检测

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Yuanhong Li; Ming Dong; Jing Hua;
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年度 2012
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1. Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection [J] . Song Ziyang, Ali Samr, Bouguila Nizar Image Processing, IET . 2020,第11期

机译：使用具有同时特征选择的无限不对称高斯混合模型减法
2. Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models [J] . Tarek Elguebaly, Nizar Bouguila Image and Vision Computing . 2015,第feba期

机译：使用非对称高斯混合模型同时进行高维聚类和特征选择
3. Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems [J] . Jens Kersten Pattern Recognition: The Journal of the Pattern Recognition Society . 2014,第8期

机译：监督分类问题的同时特征选择和高斯混合模型估计
4. An online approach for learning non-Gaussian mixture models with localized feature selection [C] . Fan Wentao, Bouguila Nizar International Conference on Communications, Signal Processing, and their Applications . 2013

机译：通过局部特征选择学习非高斯混合模型的在线方法
5. A Gaussian Mixture-Based Approach to Synthesizing Nonlinear Feature Functions for Automated Object Detection. [D] . Guo, Pei Fang. 2010

机译：一种基于高斯混合的方法，用于合成非线性特征函数以实现自动目标检测。
6. A Local Neighborhood Robust Fuzzy Clustering Image Segmentation Algorithm Based on an Adaptive Feature Selection Gaussian Mixture Model [O] . Hang Ren, Taotao Hu 2020

机译：基于自适应特征选择高斯混合模型的局部邻域鲁棒模糊聚类图像分割算法
7. A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture [O] . Yiu-ming Cheung, Hong Zeng 2010

机译：高斯混合模型同时选择和特征加权的最大加权似然法

1 Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures

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