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1·Univocality is the use of a descriptor in the same sense.

单音性是在相同意义上使用描述符。

2·Save the deployment descriptor.

保存这个部署描述符。

3·One ovf descriptor file (.ovf).

一个o vf描述符文件(. ovf)。

4·Now for the deployment descriptor.

现在来看看部署描述符。

5·Save the EJB Deployment Descriptor.

保存该 EJB 部署描述文件。

6·Close the EJB deployment descriptor.

关闭EJB部署描述符。

7·Let's first look at a descriptor.

让我们首先查看描述符。

8·Save the descriptor file.

保存描述符文件。

9·Read the bytes with the file descriptor.

使用文件描述符读取字节。

10·Create the tag library descriptor (TLD).

创建标记库描述符(TLD)。

描述符

1·We define this mapping in the deployment descriptor of the enterprise application.

我们将在企业应用程序的部署描述符中定义此映射。

2·We do not specify this information in the example, though, because the deployment descriptor is packaged at development time.

不过我们在示例中不指定这一信息，因为部署描述符是在开发时打包的。

3·In some cases, you can also map a file descriptor to a plain file or another device into memory.

在某些情况下，还可以把一般文件或另一个设备的文件描述符映射到内存。

4·You can then continue to access it within your program by passing around the file descriptor.

于是，您就可以在自己的程序中通过传送文件描述符来访问该文件。

5·The deployment descriptor contains names of the WSDL service and all methods that it contains.

部署描述符包含了 WSDL 服务的名称和它拥有的所有方法。

描述子

1·A 3d model similarity matching algorithm based on spherical harmonics descriptor is proposed in this paper.

提出了一种基于球面调和描述子的3维模型相似性比较算法。

2·Experiments demonstrated that the color block co-occurrence matrix descriptor considerably improves the retrieval performance and can combine the feature of color and texture effectively.

实验结果表明，彩色子块共生矩阵描述子能够有效地结合颜色和纹理特征，具有良好的检索性能。

3·Fourier descriptor is an important method used in shape analysis and recognition.

傅立叶描述子是分析和识别物体形状的重要方法之一。

4·In addition, the protein can be represented as other feature vectors based on amino acid composition (AAC), weighted auto-correlation function and Moment descriptor methods.

另外，蛋白质序列还可用其它特征提取方法提取的特征向量来表示，如氨基酸组成成分、加权自相关函数和矩描述子。

5·This paper discusses a simple method of SIFT operator, operator is simplified greatly reduces the dimensions of feature point descriptor is compared with the original operator.

本文讨论了一种SIFT算子的简化方法，简化后的算子与原算子相比大大降低了特征点描述子的维度。