开课单位--密歇根大学

51
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis[利用稀疏复合线性判别分析从多模态神经成像数据中识别阿尔茨海默病相关脑区]
  Jieping Ye(密歇根大学) Diagnosis of Alzheimer's disease (AD) at the early stage of the disease development is of great clinical importance. Current clinical assessment that ...
热度：105

52
Sparsity: algorithms, approximations, and analysis[稀疏性：算法、近似和分析]
  Anna Gilbert(密歇根大学) The last 15 years we have seen an explosion in the role of sparsity in mathematical signal and image processing, signal and image acquisition and reco...
热度：44

53
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch[用符号不匹配法鉴别有严重心血管风险的患者]
  Zeeshan Syed(密歇根大学) Cardiovascular disease is the leading cause of death globally, resulting in 17 million deaths each year. Despite the availability of various treatment...
热度：39

54
Multi-criteria Anomaly Detection using Pareto Depth Analysis[基于帕累托深度分析的多准则异常检测]
  Alfred O. Hero III(密歇根大学) We consider the problem of identifying patterns in a data set that exhibit anomalous behavior, often referred to as anomaly detection. In most anomaly...
热度：91

55
DivRank: the Interplay of Prestige and Diversity in Information Networks[The Interplay of divrank：信誉和信息网络的多样性]
  Qiaozhu Mei(密歇根大学) Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining ...
热度：76

56
An Integrated Machine Learning Approach to Stroke Prediction[一种综合机器学习的中风预测方法]
  Honglak Lee(密歇根大学) Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke...
热度：104

57
Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions[果蝇基因表达模式的稀疏特征及术语间相互作用 ]
  Jieping Ye(密歇根大学) The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicatin...
热度：64

58
Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming[用四次约束二次规划学习判别分析中的核矩阵 ]
  Jieping Ye(密歇根大学) The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combi...
热度：70

59
The Party Is Over Here: Structure and Content in the 2010 Election[关于政党：2010年选举的结构和内容]
  Avishay Livne(密歇根大学) In this work, we study the use of Twitter by House, Senate and gubernatorial candidates during the midterm (2010) elections in the U.S. Our data inclu...
热度：38

60
Examining Online and Offline Communication Processes in Online Dating and Social Network Sites[检查在线约会和社交网站中的在线和离线交流过程 ]
  Nicole B. Ellison(密歇根大学) Ellison’s research has been examining the ways in which new information and communication technologies shape social processes, and vice versa. H...
热度：38