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1)  recognition vector matrix
识别向量矩阵
1.
A new recognition vector of sample points was defined,and a novel recognition vector matrix was constructed based on the recognition vector of sample points;last the similarity of the corresponding sub-curves was calculated by comparing the recognition vector matrix.
基于关键特征点进行粗匹配,根据精度要求设定最小面积阈值在子曲线上重新采样点,定义了一种新的采样点的识别向量,并根据子曲线上采样点的识别向量构造了新的识别向量矩阵,最后根据识别向量矩阵的差异度度量子曲线的相似性。
2)  recognition matrix
识别矩阵
3)  mark matrix
标识矩阵/向量
4)  identification matrix map
识别矩阵图
1.
Based on the Analytic Hierarchy Process(AHP), the identification matrix map is established and the core competence can be identified from the map quantitatively and visually.
对核心能力的内涵进行了新的定义;分析了现行核心能力定量识别研究存在的问题;运用了平衡记分步的思想以及波特价值链原理来建立评价指标体系;利用层次分析法(AHP)工具并据此建立核心能力识别矩阵图,对企业核心能力进行了定量化、直观代地识别。
5)  vector matrix
向量矩阵
1.
Access control based on vector matrix and its implementation;
基于向量矩阵的安全访问控制机制及实现
2.
A new algorithm FIS-Miner(Frequent Item Sets Miner) is presented for discovering frequent item sets to decrease candidate generation based on vector matrix.
为减少冗余候选项集的产生,提出了一种基于向量矩阵的频繁项集挖掘算法FIS-Miner。
3.
The reversible integer DCT is introduced into the image coding-decoding in order to implement the several generations of coding-decoding without quality degradation due to the perfect reversibility of vector matrix and the idempotent property of the quantization.
利用向量矩阵的完全可逆性和量化过程的幂等特性,在编解码过程中引入可逆整数DCT实现了图像的多次无降质编解码。
6)  Matrix-Vector
矩阵向量
补充资料:识别
1.辨认﹔鉴别。
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