SCORPIO & TAURUS: Polar opposites that actually do quite well together.

You can take the sting out of raising a Scorpio.

你可以让养天蝎座小孩的过程好过一些.

He had some mixed pickles and rice for supper.

他晚饭吃了一些什锦泡菜和米饭.

Some pastimes lose their relish after childhood.

童年过后,有些娱乐就失去了吸引力.

Dancing is one of my favorite pastimes.

跳舞是我最喜爱的消遣之一.

One of his favourite pastimes was going markets.

过去他的爱好是逛市场.

Boxing is one of my favorite pastimes.

打拳是我最喜欢的消遣之一.

I enjoy watching TV more than any other pastimes.

我喜欢看电视超过了别的消遣方式.

They had grown skilled at finding pastimes that could bear repetition.

他们已经可以熟练地找到重复而又不惹人厌倦的娱乐.

One of our favorite pastimes in china is playing table-tennis.

打乒乓球是许多中国人喜爱的一种消遣方式.

She laid down her pastimes as easily as she took them up.

她对于自己的消遣,可以随时开始,也可以随时结束.

A Priori Distribution Selection Based on Bayesian Decision-Making

基于贝叶斯决策的先验分布的选取方法

We propose the algorithm of image restoration based on Bayesian theory mathematically, which starts with the general theory of parameter estimation and a priori distribution of the image, combined with the classical parameter estimation problems in image restoration field.

从参数估计的一般理论及图像的先验分布入手，结合图像复原问题中的经典参数估计问题，提出了贝叶斯理论下图像复原算法的数学描述，并且用实证分析法进行了数学实验。

In order to determine the a priori distribution of these submodels, a half plane Markov random field model is utilized to describe the distribution of the line process.

半平面MRF（Markov Random Field）模型描述线过程的分布，以确定各个子模型的先验概率。

It possesses quite good filtering robustness and does not require a priori statistic distribution knowledge of the image.

它不需要先验的图象统计分布知识，具有良好的滤波韧性。

First, review the feature and disadvantages of existing major padding algorithm, such as existence of redundant information system, the requirement of a priori probability distribution, no sparse degree dealing.

首先研究目前一些主要数据补齐算法所存在缺陷：产生冗余信息系统、需先验属性值分布概率、无稀疏数据处理等。

They had assigned an a priori probability of zero to Enigma decryption, and no weight of evidence sufficed to increase it.

他们直接将谜机被破解的先验概率设成了0，所以就没有证据权重能够使它增加了。

Bayesian probability framework is a theory to transfer a priori probability to posterior probability. This thesis provides a formal Bayesian framework for image classification problems, which maps the low-level image features to the intrinsic high-level semantics.

贝叶斯概率框架是一种将先验概率转化为后验概率的理论框架，通过形式化的图像分类概率框架可以将低级图像特征映射到已有的高层语义。

Secondly, based on the uncertainty of unexpected events and dynamic features, using Bayes rule to amends to a priori probability for dynamic decision-making methods respectively, using Bayes rule constantly dynamic correction phase of the results according to the information available and the changes in adjusting tactics.

其次，基于突发事件的不确定性及动态特性，分别利用贝叶斯法则修正先验概率进行动态决策的方法，利用贝叶斯动态修正法则不断地根据阶段结果和所掌握的信息变化调整策略。

By studying the existing detection algorithms, this new MMSE SIC detection scheme is based on the reliability of the estimated a priori symbol probability.

在分析现有算法特性的基础了，提出了基于估计的先验符号概率可靠性的MMSE SIC检测算法。

Our method generalize the conventional Viterbi decoding algorithm, not only the optimal path in channel decoding trellis but also the a priori probability of branches in multiple VLC source trees are considered.

本方法原理上推广了Viterbi译码算法，形成一个需要兼顾信道编码序列流的最优路径与多路信源编码状态转移树中的最大先验概率的译码算法。