1) Multi-SVM(MSVM)
SVM多分类器组合
3) multi-class SVM classifier
SVM多类分类器
4) multi-classification SVM
多分类SVM
1.
To further raise the retrieval efficiency,use the third-level feedback mechanism introducing fuzzy relevance,users mark the result for the related image,the fuzzy related image and the non-correlated image,and revise the inquiry vector migration algorithm,based on this utilize multi-classification SVM to propose one new relevance feedback image retrieval method.
为了进一步提高检索效率,采用三级反馈机制引入模糊相关,用户对检索结果标记为相关图像、模糊相关图像和不相关图像,并对经典的查询向量点移动算法进行修改,在此基础上运用多分类SVM提出一种新的相关反馈图像检索方法。
5) SVM classifier
SVM分类器
1.
It consideres the projections of samples onto an optimal vector derived by Fisher s discriminant in nonlinear space as sample features, then SVM classifier is used to implement target identification.
该方法首先在非线性空间内利用Fisher准则提取样本特征 ,然后由SVM分类器完成目标识别。
2.
It takes the principal components in nonlinear space as sample features, then SVM classifier is used to classify targets.
该方法在非线性空间内利用线性 PCA(Principal Component Analysis)准则提取目标特征并由 SVM分类器完成目标识别。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
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