priors

英 [ˈpraɪəz]

美 [ˈpraɪərz]

n.  (小隐修院)院长; (隐修院)会长，副院长
prior的复数

柯林斯词典

• ADJ 先前的；在前的；在先的
  You usepriorto indicate that something has already happened, or must happen, before another event takes place.
  1. He claimed he had no prior knowledge of the protest...
     他声称自己事先并不知道这次抗议的事。
  2. The Constitution requires the president to seek the prior approval of Congress for military action...
     宪法规定总统在采取军事行动之前必须获得国会同意。
  3. For the prior year, they reported net income of $1.1 million.
     他们公布上一年度纯收入为110万美元。
• ADJ （所有权、责任）更重要的，优先的
  Apriorclaim or duty is more important than other claims or duties and needs to be dealt with first.
  1. The firm I wanted to use had prior commitments.
     我想选用的这家公司已有约在先。
• 小修道院院长；大修道院副院长
  Aprioris a monk who is in charge of a priory or a monk who is the second most important person in a monastery.
• PREP-PHRASE 在…之前；先于
  If something happensprior toa particular time or event, it happens before that time or event.
  1. Prior to his Japan trip, he went to New York...
     在去日本之前，他去了纽约。
  2. A man seen hanging around the area prior to the shooting could have been involved.
     在枪杀案发生之前，有人目睹一位男子在这附近游荡，该男子可能与此案有关。

双语例句

• Feature images are produced according to the similarity of the object intensity. They are segmented by using level set method with priors shape information.
  该方法先根据目标灰度的特征生成特征图像，使得特征图像目标区域灰度趋于一致，再在特征图像的基础上利用先验形状信息的水平集模型对目标进行分割。
• 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。
• Geometric Active Contour Model with Color and Intensity Priors for Medical Image Segmentation
  融合颜色和强度先验信息的几何形变模型在医学图像分割中的应用
• At the commencement, we give the definition and prove several theoretical properties of multivariate Polya tree priors, accompanied with data structure and model assumptions.
  首先我们给出多元Polyatree先验的定义和理论性质，然后提出相应的数据结构和模型假设。
• Motivated by these challenges in Bayesian nonparametrics, we try to estimate the prior parameters of several process priors under an empirical Bayes framework with different data structures: univariate data, multivariate data, even monotone missing data.
  为了解决贝叶斯非参数统计中这些问题和挑战，基于经验贝叶斯的框架和几种不同的数据结构：一元数据，多元数据和单调缺失数据，我们尝试分别对几类过程先验中的参数进行估计。
• Different from the methods mentioned above, a set of training co-occurrence priors between low-and high-resolution image patches are employed in the learning-based methods.
  不同于前面提到的两种方法，大量的低分辨率和高分辨率图像块之间的先验信息被应用到基于学习的超分辨率方法中。
• With the premise of conjugate priors, the posterior can be used as the prior in successive combinations with new samples using the Bayesian theorem.
  在共轭先验分布的前提下，可以将后验信息作为新的一轮计算的先验，用Bayesian定理与进一步得到的样本信息进行综合。多次重复这个过程后，样本信息的影响越来越显著。
• 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。
• Information ratio of Dirichlet priors
  Dirichlet先验的信息比
• Firstly, we overview the basic model and theoretical properties of Polya tree priors, then define several kinds of Polya tree priors and give sufficiencies to take absolutely continuous distributions as their supports.
  首先，我们回顾了Polyatree先验的基本模型和理论性质，然后定义了几类Polyatree先验，并给出了使得它们取绝对连续分布集作为支撑的充分条件。