1) cross similarity measurement
交叉相似度测量
1.
This paper proposed a combined SVM system using GMM supper vector and its test score normalization, and a cross similarity measurement and its use for the score normalization and symmetric scoring.
本课题对目前主流的高斯混合模型和支撑向量机两大系统进行了详细的讨论,并从特征域、模型域、得分域等不同角度对说话人识别鲁棒性增强技术进行了系统的探讨,并在此基础上提出了基于高斯混合模型超矢量的支撑向量机系统及其测试得分归一化,提出了基于交叉相似度测量的说话人自适应的得分归一化和对称得分技术。
2) similarity measure
相似度测量
1.
It is based on means of template matching according to a combined invariants-based similarity measure and TPS image warping.
运用一种基于组合不变量的相似度测量的模板匹配和弹性TPS算法配准减影方法,并根据实际情况有所改进。
2.
Then aspam detection algorithm based on similarity measure is designed, which is named Spam-SMA and it makes use of the N-gram as features for comparison.
分析新垃圾邮件发现的意义,设计用来发现新垃圾邮件的相似度测量算法——Spam-SMA,该算法使用N元字串(N-Gram)作为比较用特征,基于该算法,在规则判分的反垃圾邮件框架下,提出1种新垃圾邮件发现机制,并通过对SpamAssassin的扩展实现了该机制。
3) similarity measurement
相似度测量
1.
To make blocks match better,the algorithm improves the accuracy of similarity measurement through subdividing image block.
在图像背景中,利用灰度变化和边缘特征,并根据红外目标的亮度特征避开有目标的区域,搜索合适的图像块;在块匹配时,将图像块进一步细分,改进了相似度测量算法的准确性。
4) crosspoint measurement
相交度测量
5) similarity measure
相似测度
1.
σ-entropy,σ-distance measure and σ-similarity measure of intuitionistic interval-valued fuzzy sets;
直觉区间值模糊集的σ-熵、σ-距离测度和σ-相似测度
2.
Similarity Measure and Distance Measure of Intuitionistic Fuzzy Sets
区间值直观模糊集的相似测度和距离测度
3.
The relations between similarity measure and distance measure of Vague sets are analyzed.
讨论了相似测度与距离测度之间的关系。
6) similarity degree measurement
相似度量
1.
The rough set is used to reduce the features of the case and calculate features weights,while the similarity degree measurement,which improves retrieval speed and accuracy,is used to retrieve the similar cases.
运用粗糙集理论对范例库中的范例进行属性约简和特征向量权值计算,用相似度量理论来实现最相似范例检索,得到泥石流的危险性评价结果。
2.
Based on case-based reasoning(CBR),rough set technology,similarity degree measurement and expert knowledge,the method for constructing the intelligent decision support system(IDSS) of the railway rescue command system(RRCS) is proposed in this paper.
提出基于案例推理技术、粗糙集技术、相似度量理论与专家知识相结合的铁路救援指挥系统(RCS)中智能决策的构建方法。
3.
In the paper,the rough set is used to reduce the features of the case and the similarity degree measurement is used to retrieve the similar cases.
检索是CBR中的关键技术,直接影响到范例推理的效率和质量,该文提出先用粗糙集理论去除冗余的范例决策表中的特征属性,再用相似度量理论来实现相似范例检索,这种检索方法检索效率高。
补充资料：交叉
分子式：
CAS号：
性质：来自两个不同个体的配子结合，或为该过程的结束生成重组体。
CAS号：
性质：来自两个不同个体的配子结合，或为该过程的结束生成重组体。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条