SVM多分类器组合,Multi-SVM(MSVM)
1)Multi-SVM(MSVM)SVM多分类器组合
2)SVM Multi-classifierSVM多分类器
英文短句/例句

1.A method for constructing SVM Multi-classifier based on Huffman-tree基于赫夫曼树的SVM多分类器构造方法
2.Two Stages Multi-label SVM Classifier Based on K-means基于K-means的二阶段多类SVM分类器
3.Application of SVM-KNN Classifier into Web Page ClassificationSVM-KNN分类器在网页分类中的应用
4.Video genre categorization using SVM classifiers with active learning基于主动学习SVM分类器的视频分类
5.Multi-class Classification of BT-SVM Based on Improved FCM Clustering基于改进FCM聚类的BT-SVM多类分类算法
6.SVM multi-class classification method based on multi-objective optimization基于多目标优化的SVM多类分类方法
7.Enterprise management situation analysis based on multi-class SVM classification;企业经营状况分析的多类SVM分类方法
8.Music Emotional Classification Research Based on Multiclass SVM基于多分类SVM的MIDI音乐情感分类研究
9.Optimization of Multi-class SVM Algorithm Based on AUC;基于AUC的SVM多类分类算法的优化
10.Research on Multi-class Classification Method of Improved SVM Based on FBT基于FBT的改进SVM多类分类方法研究
11.Hybrid multi-class classification approach based on LDA and SVM一种LDA与SVM混合的多类分类方法
12.Improving SVM for Learning Multi-Class Domains with Multi-Objective Algorithm多目标算法在多分类SVM优化中的应用
13.New cloud classifier based on SVM weight vector一种新的基于SVM权重向量的云分类器
14.Ncut-Based Segmentation and SVM Classifier for Medical Image Classification基于Ncut分割和SVM分类器的医学图像分类算法
15.Fingerprint Recognition Based on Multi-Category SVM;基于多分类SVM在指纹识别方向的研究
16.Evaluation of Teaching Quality Based on Multi-Classification Algorithm of Support Vector Machine基于SVM多分类的教学质量评价研究
17.Algorithm of Multi-category SVM Incremental Learning in Application of Intrusion Detection入侵检测中的多分类SVM增量学习算法
18.Improved multi-class classification incremental learning algorithm based on sphere structured SVM改进的球结构SVM多分类增量学习算法
相关短句/例句

SVM Multi-classifierSVM多分类器
3)multi-class SVM classifierSVM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 classifierSVM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。
6)SVM Multi-class Classification多类SVM分类
延伸阅读

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