This is a really good month for you, Scorpio!

When you go away on vacation, Scorpio, you rarely a forwarding number.

当你们要出门度假, “天蝎”, 你们很少定下归期.

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Pour the champagne, dear Scorpio-you will certainly deserve to mark the moment!

倒一杯香槟, 亲爱的天蝎座,你非常值得去记下这一刻.

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

天 蝎 -金牛: 性格差异很大的一对却能相处地不错.

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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.

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He had some mixed pickles and rice for supper.

他晚饭吃了一些什锦泡菜和米饭.

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Some pastimes lose their relish after childhood.

童年过后,有些娱乐就失去了吸引力.

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Dancing is one of my favorite pastimes.

跳舞是我最喜爱的消遣之一.

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One of his favourite pastimes was going markets.

过去他的爱好是逛市场.

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Boxing is one of my favorite pastimes.

打拳是我最喜欢的消遣之一.

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I enjoy watching TV more than any other pastimes.

我喜欢看电视超过了别的消遣方式.

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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.

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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.

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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.

词典精选例句

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

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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。

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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。

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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。

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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。

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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。

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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。

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