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MRI Tissue Classification Using High Resolution Bayesian Hidden Markov Normal Mixture Models

机译：利用高分辨率贝叶斯隐马尔可夫正态混合模型进行mRI组织分类

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Dai Feng; Luke Tierney;
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年度 2009
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1. MRI Tissue Classification Using High-Resolution Bayesian Hidden Markov Normal Mixture Models [J] . Dai Feng, Luke Tierney, Vincent Magnotta Journal of the American statistical association . 2012 ,第497期

机译：使用高分辨率贝叶斯隐马尔可夫正则混合模型的MRI组织分类
2. Consistent and asymptotically normal parameter estimates for hidden Markov mixtures of Markov models [J] . Vandekerkhove P Bernoulli: official journal of the Bernoulli Society for Mathematical Statistics and Probability . 2005 ,第1期

机译：马氏模型的隐马尔可夫混合物的一致且渐近正态参数估计
3. Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models [J] . Yao Zhongjiang, Ge Jingguo, Wu Yulei, Journal of network and computer applications . 2020 ,第Sepa期

机译：基于高斯混合模型和隐马尔可夫模型的加密流量分类
4. Segmentation of adipose and glandular tissue for breast tomosynthesis imaging using a 3D hidden-Markov model trained on breast MRIs [C] . Christina M. Shafer, Victoria L. Seewaldt, Joseph Y. Lo Conference on physics of medical imaging . 2011

机译：使用在乳腺MRI上训练的3D隐藏-马尔可夫模型对脂肪和腺组织进行乳腺断层合成成像的分割
5. Classification and segmentation of images using hidden Markov Gauss mixture models. [D] . Pyun, Kyungsuk. 2003

机译：使用隐藏的马尔可夫高斯混合模型对图像进行分类和分割。
6. Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models [O] . Panayiota Touloupou, Bärbel Finkenstädt, Simon E. F. Spencer -1

机译：可扩展的贝叶斯推断耦合隐马尔可夫和半马尔可夫模型
7. Estimation of the Variance for the Maximum Likelihood Estimates in Normal Mixture Models and Normal Hidden Markov Models [O] . Muhammad IQBAL, Akihiro NISHI, Yasuki KIKUCHI, 2011

机译：估计正常混合模型和正常隐马尔可夫模型的最大似然估计的差异
8. Multi-Resolution Hidden Markov Model for Optimal Detection, Tracking, Separation, and Classification of Marine Mammal Vocalizations [R] . Harrison, B. F., Baggenstoss, P. M. 2008

机译：用于海洋哺乳动物发声的最佳检测，跟踪，分离和分类的多分辨率隐马尔可夫模型

MRI Tissue Classification Using High Resolution Bayesian Hidden Markov Normal Mixture Models

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