A maximum entropy model of feature extraction for the gas disaster information is established, with the training algorithm of the maximum entropy presented.
以最大熵原理为基础，建立了最大熵瓦斯灾害信息特征提取模型，提出了最大熵模型的参数训练算法。
In addition, the data stream parsing, extraction protocol characteristics, the establishment of ATM, IP protocol type algorithm model for rapid identification.
另外，对数据流进行解析，提取协议特征，建立A TM、IP协议类型快速识别算法模型。
The selection of features depends on the algorithm of feature extraction , and we use the 14-point ASM(Active Shape Model) in this paper.
特征的选取取决于特征提取的算法，本文采用的是14点主动形状模型。
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