In: Adami N, Cavallaro A, Leonardi R, Migliorati P (eds) Lecture notes in electrical engineering, analysis, retrieval and delivery of multimedia content, vol 158. Springer, New York, pp 107–122K. Quast and A. Kaup, "Shape adaptive mean shift object tracking using Gaussian mixture models,...
Gaussian mixture model based on hidden Markov random field for color image segmentation. Tran K A,Vo N Q,Nguyen T T,et al. Lecture Notes in Electrical Engineering . 2014K. A. Tran, N. Q. Vo, T. T. Nguyen, and G. Lee, "Gaussian mixture model based on hidden markov random field ...
Virtual View Synthesis for Free Viewpoint Video and Multiview Video Compression using Gaussian Mixture Modelling 社区问答 我要提问 Q1 论文试图解决什么问题? Q2 这是否是一个新的问题? Q3 这篇文章要验证一个什么科学假设? Q4 有哪些相关研究?如何归类?谁是这一课题在领域内值得关注的研究员?
如果要理解Mixtures of Gaussians,那先回去复习一下Gaussians Discriminant Analysis,高斯判别分析 首先高斯判别分析是生成算法, 所以不会直接拟合p(y|x), 而是拟合p(x|y)p(y), 即p(x,y) p(y)符合伯努力分布,如果是多元分类,即多项式分布 p(x|y)符合多项高斯分布 然后用最大似然法,学习出 这个问题就解...
Understanding concept of Gaussian Mixture Modelsstackoverflow.com/questions/26019584/understanding-concept-of-gaussian-mixture-models Gaussians : http://www.inf.ed.ac.uk/teaching/courses/inf2b/learnnotes/inf2b-learn-note08-2up.pdfwww.inf.ed.ac.uk/teaching/courses/inf2b/learnnotes/inf2b-le...
D Feng,Y Xia,T Zhang - 《Lecture Notes in Computer Science》 被引量: 12发表: 2011年 An extension Gaussian mixture model for brain MRI segmentation The segmentation of brain magnetic resonance (MR) images into gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) has been an...
model, GSM) 一维高斯分布高斯模型是一种常用的变量分布模型,一维高斯分布的概率密度函数如下:多维高斯分布混合高斯模型(Gaussianmixturemodel,GMM)混合高斯模型...:通过使得样本集的联合概率最大来对参数进行估计,从而选择最佳的分布模型。 对于图8产生的样本用最大化似然函数的方法,最终可以得到序号1对应的高斯分布模型...
Notes on crt-based robust frequency estimation Signal Process. (2017) X.-G. Xia On estimation of multiple frequencies in undersampled complex valued waveforms IEEE Trans. Signal Process. (1999) X.-G. Xia An efficient frequency-determination algorithm from multiple undersampled waveforms IEEE Signal...
(2010). Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds) Pattern Recognition. DAGM 2010. Lecture Notes in Computer Science, vol 6376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/...
(2003). Gaussian Mixture Models for Supervised Classification of Remote Sensing Multispectral Images. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. ...