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- Compression ratio of the server input data stream. 服务器输入数据流的压缩比率。
- Compression ratio of the server output data stream. 服务器输出数据流的压缩比率。
- Objective:To explore the spatio temporal epidemic dynamic of haemorrhagic fever with renal syndromes ,HFRS). 目的:探讨肾综合征出血热时空流行动态的分型特征。
- Binds a vertex buffer to a device data stream. 将顶点缓冲区绑定到设备数据流。
- Sparse data stream found in file record segment %1. 在文件纪录段%251找到了稀疏数据流。
- Byte offset within the data stream. 数据流内的字节偏移量。
- It combines the motion compensation technique with a directional based spatio temporal filter, and the interpolation result is the weighted sum of the two methods. 将运动补偿技术与基于方向的时空滤波方法相结合;去隔行插值结果是运动补偿时间插值和基于方向的时空中值滤波方法的加权和.
- Method to save to an open data stream. 方法保存到开放式数据流。
- This paper discusses the theory of data mining respect to temporal data. 研究了时态（时间段）数据的关联规则的数据采掘问题。
- In the real world, information systems are often concerned with temporal data. 在现实世界中,信息系统往往涉及到时态数据。
- In addition, by incorporating motion information, we introduce a more effective and accurate spatio temporal patch similarity metric, which leads to more visually pleasing completion results. 还提出了与视觉相关的像素权值的概念，使得算法能更好地按照视觉合理性计算时空块的相似度。
- The Helix Server is used to offer data stream service . 在平台网络环境的构建中,服务器端采用Helix server提供网络视频数据流服务。
- Gets a vertex buffer bound to the specified data stream. 获取绑定到指定数据流的顶点缓冲区。
- Encrypted data stream found in file record segment %1. 在文件纪录段%251找到了加密数据流。
- Repairing the unreadable security descriptors data stream. 正修复不可读的安全描述符的数据流。
- Write that data stream into the stream for the Receive. Txt file. 将该数据流写入Receive.;txt文件的流。
- Spatio-temporal DBMS (database management system) is a DBMS which can handle the temporal data and the spatial data. 时空数据库管理系统(Spatio-Temporal DBMS)是能够同时处理时态数据和空间数据的数据库管理系统。
- You might want to write the data stream to a disk file. 您可能需要将数据流写入某个磁盘文件。
- Receives out-of-band data in the normal data stream. 接收正常数据流中的带外数据。
- Temporal data mining (TDM) has been attracting more and more interest from a vast range of domains, from engineering to finance. 现实世界存在着大量的时态数据;时态数据挖掘(temporal data mining;简称TDM)是近年来学术界关注的一个重要研究课题.
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