奥本海默博士招募了28位年龄在18到40岁之间的志愿者，要求他们通过阅读一些文字资料来学习三类外星人“物种”的相关信息，每种外星人都有7个特征。
Dr Oppenheimer recruited 28 volunteers aged between 18 and 40 and asked them to learn, from written descriptions, about three "species" of extraterrestrial alien, each of which had seven features.
本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
采用空间数据特征比较、时域聚类、相关性分析，综合利用配电网络GIS数据模型和计算机技术对配电网络进行深入的研究。
It adopts space data characteristic compare, cluster analysis and correlation analysis, and synthetically utilizes GIS data model and the technology of computer to analyze the distribution network.
本文从回顾光学特征识别信号的稳定性入手，引入了一类最近出现的光学相关识别系统。
Starting with the invariance of OPR signal, the paper introduces a latest OPR system which can retain the intension of correlation output on occurrence of opposite rotation.
本文利用事件相关文档的特点，提出了基于多特征的句子聚类方法，以期获得事件的各个侧面信息。
According to the characteristics of the related texts, this paper presents a sentence clustering method based on multi-features for getting profile information of the event.
两类花岗岩的稀土元素地球化学特征明显不同，这与其所处的不同后碰撞构造演化阶段密切相关。
The characteristics of two types of granites are different, since A type and I type granites which formed at different stage of the post-collisional period.
本文提出了一种新的基于一维相关滤波器的类依赖特征分析人脸识别方法。
The results proved that the method of correlation filters presented in the paper is effective and feasible.
实验证明，该方法下的特征类间区分度高，运行速度快，可用于解决非刚体图像的相关特征的提取。
The experimental results show that the extracted features have high separability between classes and the processing speed is fast. This method can be used to extract the features of nonrigid images.
本文首先简单介绍了目前常用的两类分子空间结构相似性比较方法，一类是基于欧几里得几何距离的，另一类是基于特征相关性的。
This paper briefly introduces two classes of methods for molecular 3D structure comparison, one is based on Euclidean distances, and another is based on relativity of properties.
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
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