开课单位--南京大学
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11
CAMO: Integration of Linked Open Data for Multimedia Metadata Enrichment[CAMO:多媒体元数据丰富的链接开放数据集成]
  Yuzhong Qu(南京大学) Metadata is a vital factor for effective management, organization and retrieval of multimedia content. In this paper, we introduce CAMO, a new system ...
热度:74

12
Explass: Exploring Associations between Entities via Top-K Ontological Patterns and Facets[Explass:通过Top-K本体论模式和方面探索实体之间的关联]
   Gong Cheng(南京大学) Searching for associations between entities is needed in many areas. On the Semantic Web, it usually boils down to finding paths that connect two enti...
热度:30

13
On Multi-View Active Learning and the Combination with Semi-Supervised Learning[多视图主动学习与半监督学习相结合]
  Zhi-Hua Zhou(南京大学) Multi-view learning has become a hot topic during the past few years. In this paper, we first characterize the sample complexity of multi-view active ...
热度:179

14
Learning with Cost Intervals[成本区间学习]
  Xu-Ying Liu(南京大学) Existing cost-sensitive learning methods require that the unequal misclassification costs should be given as precise values. In many real-world applic...
热度:87

15
An Empirical Study of Vocabulary Relatedness and Its application to Recommender Systems[词汇关联性的实证研究及其在推荐系统中的应用]
  Gong Cheng(南京大学) When thousands of vocabularies having been published on the SemanticWeb by various authorities, a question arises as to how they are related to each o...
热度:51

16
RELIN: Relatedness and Informativeness-based Centrality for Entity Summarization[relin:基于关联性和信息性的实体汇总中心性]
  Gong Cheng(南京大学) Linked Data is developing towards a large, global repository for structured, interlinked descriptions of real-world entities. An emerging problem in m...
热度:25

17
Term Dependence on the Semantic Web[术语对语义网的依赖]
  Gong Cheng(南京大学) A large amount of terms (classes and properties) have been published on the Semantic Web by various parties, to be shared for describing resources. Te...
热度:69

18
Learning Instance Specific Distances Using Metric Propagation[使用度量传播学习实例特定距离]
  De-Chuan Zhan(南京大学) In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using \textit{insta...
热度:58

19
Semi-Supervised Learning Using Label Mean[使用标签均值的半监督学习]
  Yu-Feng Li(南京大学) Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficie...
热度:117

20
Transductive Classification via Dual Regularization[通过双正则化的转导分类]
  Yu-Feng Li(南京大学) Semi-supervised learning has witnessed increasing interest in the past decade. One common assumption behind semi-supervised learning is that the data ...
热度:82
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