位置：成果数据库 > 会议 > 会议详情页
Asymmetric semi-supervised boosting for SVM active learning in CBIR
  • 所属机构名称：大连海事大学
  • 会议名称：ACM Int. Conf. Image and Video Retrieval
  • 成果类型：会议
  • 相关项目：分析挖掘冠心病中医诊疗临床规律的智能技术研究
作者： Wu, Jun |Lu, Mingyu |Lin, Zhengkui |
同会议论文项目
分析挖掘冠心病中医诊疗临床规律的智能技术研究
期刊论文 32 会议论文 20 获奖 2
同项目会议论文
Collaborative learning between visual content and hidden semantic for image retrieval
Correlation Analysis of Association Rules Based on Piecewise
Enhancing SVM active learning for image retrieval using semi-supervised bias-ensemble
Optimization of decision tree based on variable precision rough set
Association Rule Discovery with Fuzzy Decreasing Support on Syndrome Differentiation and Medication
Mining frequent closed itemsets using antecedent-consequent constraint and length-decreasing support
A Novel Features Partition Algorithm for Semi-Supervised Categorization
The Optimization and Improvement of the Apriori Algorithm
Association Rule Discovery with Fuzzy Decreasing Support on Syndrome Differentiation in Coronary Hea
A new digital audio watermaking scheme robust to desynchroniaztion attacks
Scaling up the Accuracy of Bayesian Classifier Based on Frequent Itemsets by M-estimate
Correlation Research of Association Rules and Application in the Data about Coronary Heart Disease
An Efficient Association Rules Mining Algorithm Based on Coding and Constraints
Bayesian Active Learning in Relevance Feedback for Image Retrieval
Asymmetric Bayesian Learning for Image Retrieval with Relevance Feedback
模糊聚类传递闭包失真问题研究
A Vector Operation Based Fast Association Rules Mining Algorithm
A novel data visualization method for science fund management based on GIS technology
Research on time-validity and incremental association rules