1) two stages multi-label SVM classifier
二阶段多类SVM分类方法
1.
In this paper, two stages multi-label SVM classifier based on K-means has been proposed.
针对上述二方面,本人做了以下工作:第一:提出了基于K-means的二阶段多类SVM分类方法。
2) 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。
3) Binary Tree based Multi-class SVM
二叉树多分类SVM
5) classification learning machine of SVM
SVM多分类机
补充资料：多分
〈方〉多半：～是这样ㄧ我看这事～没希望了。
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参考词条