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Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm

机译：利用Em算法估计图像混合模型并推导空间变换

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Brendan J. Frey; Nebojsa Jojic;
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年度 1999
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1. Pseudogradient Algorithms for Estimating Spatial Distortions of Images with Varying Volume of the Local Samples of the Goal Function [J] . A. G. Tashlinskii Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2001,第1期

机译：伪梯度算法估计目标函数局部样本量变化的图像空间畸变
2. Bernoulli mixture models in application to the evaluation of algorithms estimating functionality of missense mutations [J] . Stephanie Hicks, Sharon E Plon, Marek Kimmel BMC proceedings. . 2012,第S6期

机译：Bernoulli混合模型在评估错义突变功能的算法评估中的应用
3. Estimating wetland vegetation abundance from Landsat-8 operational land imager imagery: a comparison between linear spectral mixture analysis and multinomial logit modeling methods [J] . Zhang Min, Gong Zhaoning, Zhao Wenji, Journal of Applied Remote Sensing . 2016,第1期

机译：从Landsat-8陆地成像影像估算湿地植被丰度：线性光谱混合分析与多项式Logit建模方法之间的比较
4. Estimating mixture models of images and inferring spatial transformations using the EM algorithm [C] . Frey, B.J., Jojic, . 1999

机译：估计图像的混合模型并使用EM算法推断空间变换
5. Spectral/spatial modeling of hyperspectral imagery with spectral mixture and multigrid Gibbs-based partition processes. [D] . Rand, Robert Stephen. 2001

机译：利用光谱混合和基于多重网格Gibbs的分区过程对高光谱图像进行光谱/空间建模。
6. Bernoulli mixture models in application to the evaluation of algorithms estimating functionality of missense mutations [O] . Stephanie Hicks, Sharon E Plon, Marek Kimmel 2012

机译：Bernoulli混合模型在评估错义突变功能的算法评估中的应用
7. Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequences [O] . Nebojsa Jojic, Nemanja Petrovic, Brendan J. Frey, 2000

机译：转换隐马尔可夫模型：估计图像的混合模型和推断视频序列中的空间变换
8. Algorithms and Models Based on Projective Transformations in Spatial Location, Regional Planning, and Central Place Theory [R] . Lindgren, C. E. S. 1969

机译：基于投影变换的空间位置，区域规划和中心地理论的算法与模型

Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm

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