In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model.
在人脸跟踪领域，本文对比了当前几种主要的相似度匹配方法，采用了一种基于特征空间模型的人脸跟踪方法。
This paper uses the Vector Space Model to express the features of event description segment and calculate the importance of feature words in different classes.
使用向量空间模型来表示事件描述片段的特征，并分类计算特征词的重要度，最后对文本中的事件片段进行定位和分类。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
CDCPM用中心距离正态(CDN)分布描述模型特征空间，去掉了H MM的状态转移概率矩阵a，对HMM进行了简化和改进。
Feature space imitates the model of biological complex neurons in primary visual cortex, and it is constructed through orientation histogram in feature's local area.
特征空间则模仿了灵长类动物的视觉神经元模型，以区域图像梯度直方图的方式建立。
Feature space imitates the model of biological complex neurons in primary visual cortex, and it is constructed through orientation histogram in feature's local area.
特征空间则模仿了灵长类动物的视觉神经元模型，以区域图像梯度直方图的方式建立。
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