The reconstruction of MRI based on compressed sensing is able to recover the original image from the fewer projections using the sparse priors of image.
基于压缩传感的MRI图像重构利用图像稀疏的先验知识能从很少的投影值重构原图像。
The current MRI reconstruction algorithms simply use either the sparse priors or the local smooth priors of MRI image, and result in the inferior reconstruction.
目前MRI重构算法只利用MRI图像稀疏性表示或只利用基于其局部光滑性的先验知识，重构效果不理想。
Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
However, in the real financial world, investors differ in valuations as a result of the uncertainty of future returns, private information and heterogeneous priors etc.
然而，在现实的金融市场上，由于未来收益的不确定性、私有信息以及先验异质等原因，投资者的收益预测存在分歧。
By comparing the tail behavior of prior distributions and likelihood distribution, a robust fusion method of priors distribution in multi-sources prior information is given.
根据多种先验分布与似然函数尾部特性的比较，给出了多源验前信息下先验分布的稳健融合方法。
This article proposed a new type of MRF (Markov random fields) hybrid multi-order prior for Bayesian reconstruction, which combines quadratic smoothness priors of different orders.
基于贝叶斯重建，本研究提出了一种应用于贝叶斯重建中新的综合了二次一阶先验和二次二阶先验的马尔可夫随机场混合多阶先验。
This article proposed a new type of MRF (Markov random fields) hybrid multi-order prior for Bayesian reconstruction, which combines quadratic smoothness priors of different orders.
基于贝叶斯重建，本研究提出了一种应用于贝叶斯重建中新的综合了二次一阶先验和二次二阶先验的马尔可夫随机场混合多阶先验。
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