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1)  Autoregressive model and characteristic compression
AR模型与特征压缩
2)  compression feature
压缩特征
3)  feature compression
特征压缩
1.
To make full use of the feature information of signals in feature extraction fo r target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息,对原始特征空间的建立和特征压缩的过程进行了讨论。
2.
The problem of feature compression in high-resolution radar target recognition is studied.
研究了宽带高分辨雷达目标识别中的特征压缩问题。
3.
Firstly, a feature compression method, which has a changeable factor used to adjust the feature compression ratio, is applied to compress feature vectors with a high compression ratio.
AHMM采用带有压缩率调整因子的特征压缩算法,首先对待识别的特征序列进行较高压缩率的压缩,然后将压缩得到的特征序列送入HMM识别器进行识别。
4)  eigenvalue problems/reduction of model
特征值分析/模型减缩
5)  compressed feature
压缩域特征
1.
Based on the compressed features and LSI,a novel meth od with which to mapping visual features to high lever semantic contents was pro posed.
实验研究表明 ,这种基于压缩域特征和 L SI技术的图像检索方法能显著改善图像检索的性能 ,提高图像检索的质
6)  feature modeling
特征模型
1.
In the domain engineering, feature modeling describe relations between requirements of domain and distinguish between com- mon and variable characteristics, plays an important role in the design and implementation of complex software systems.
在领域工程中,特征模型描述了领域需求之间的关系,在共性和特性之间进行区别,在复杂软件系统设计和实现中扮演了重要的角色。
补充资料:ar,ar-diethyl-ar-methylbenzenediamine
CAS:68479-98-1
分子式:C11H18N2
中文名称:二乙基甲苯二胺;芳基,芳基二乙基-芳基-甲基苯二胺
英文名称:ar,ar-diethyl-ar-methyl-Benzenediamine;Diethyltoluenediamine;ar,ar-diethyl-ar-methylbenzenediamine;ar,ar-diethyl-ar-methyl-benzenediamin;diethyl tolamine
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