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1)  support vector mechanic
支持向量基
1.
This algorithm first extracts every 25 frames in the video stream, then uses text edge information, projection technology and support vector mechanic to check text block and exclude non-text block.
该算法首先对视频序列中每隔25帧的单帧图像进行边缘检测和投影处理来提取文本块,然后用支持向量基进行筛选,排除非文本块的干扰,最后利用视频序列中相邻帧之间的相关性来搜索剩余帧中的文本块。
2)  support vector machines
支持向量
1.
Application of support vector machines in examination of worn striation mark;
支持向量机方法在线条痕迹检验中的应用
3)  Support vector
支持向量
1.
Modeling method of least squares support vector regression based on vector base learning;
基于矢量基学习的最小二乘支持向量机建模
2.
Lower dimension Newton-algorithm for training the support vector machines;
训练支持向量机的低维Newton算法
3.
A fast algorithm for extracting the support vector on the Mahalanobis distance;
一种基于马氏距离的支持向量快速提取算法
4)  support vectors
支持向量
1.
Since the boundary is determined by a small portion of data called support vectors which distribute around the description boundary;the proposed algorithm treats the distance to the center as a probability measure of support vectors for each sample,and selects the former ones ranking as the reduced sets to participate in the SVDD training.
为加快支持向量域描述(SVDD)的训练速度,提出基于约减集的约简支持向量域描述算法RSVDD。
2.
This paper proposes a new method of evaluating text features that can detect noise features based on support vectors.
提出了一种基于支持向量且能识别噪音特征的文本特征评估方法,以及一种具有自我反馈学习能力的文本分类系统。
5)  Support vector machine(SVM)
支持向量
1.
A support vector machine(SVM) object extraction method was proposed based on the HSV color model,which could be used for testing the blend ratio of cashmere/wool yarns.
文章介绍了基于HSV颜色模型,应用支持向量机的目标提取方法检测羊绒/羊毛混纺比。
6)  support vector machine
支持向量
1.
The Research and Application of Reinforcement Learning Based on Support Vector Machine(SVM);
基于支持向量技术的Agent强化学习研究与应用
2.
Research on Machine Fault Pattern Classification Based on Support Vector Machine
基于支持向量机的机械故障多类分类研究
3.
The advantages and disadvantages of grey forecasting methods and support vector machines(SVM) were analyzed respectively.
在分析了灰色预测方法和支持向量机各自的优缺点基础上,提出了将二者相结合的一种新的预测模型———灰色支持向量机裂纹扩展预测模型。
补充资料:支持
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