开课单位--佛罗里达大学
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Contrail - facts, objectives and current results[Contrail - 事实，目标和当前结果]
  Piyush Harsh(佛罗里达大学) Contrail develops an integrated approach to virtualization. It offers smart provisioning of resources over IaaS clouds through Virtual Execution Platf...
热度：61

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Data Science Through the Lens of Social Science[社会科学视角下的数据科学]
   Drew Conway(佛罗里达大学) In this talk, Drew will examine data science through the lens of the social scientist. He will discuss how the various skills and disciplines combine ...
热度：26

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Support Feature Machine for Classification of Abnormal Brain Activity [支持特征分类法对脑异常活动的分类]
  Art Chaovalitwongse(佛罗里达大学) In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by th...
热度：20

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Predicting co-evolving pairs in Pfam using information theory where entropy is determined by phylogenetic mutation events[用熵是由进化突变事件所确定的信息理论来预测蛋白质家族结构域数据库的不断发展]
  Scooter Willis(佛罗里达大学) The accurate prediction of co-evolving pairs in protein sequences plays an important role in tertiary protein structure prediction and protein enginee...
热度：29

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Information-Theoretic Algorithms for Diffusion Tensor Imaging[扩散张量成像的信息理论算法]
  Baba C. Vemuri(佛罗里达大学) Concepts from Information Theory have been used quite widely in Image Processing, Computer Vision and Medical Image Analysis for several decades now. ...
热度：63

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Mixture Models for Learning Low-dimensional Roles in High-dimensional Data[学习高维数据中低维角色的混合模式]
  Manas Somaiya(佛罗里达大学) Archived data often describe entities that participate in multiple roles. Each of these roles may influence various aspects of the data. For example, ...
热度：34

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Study of Classification Algorithms using Moment Analysis[基于矩分析的分类算法研究]
  Amit Dhurandha(佛罗里达大学) 基于矩分析的分类算法研究
热度：27

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A LRT Framework for Fast Spacial Anomaly Detection[一个快速空间异常检测的轻轨框架]
  Jermaine Christopher M(佛罗里达大学) Given a spatial data set placed on an n x n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous b...
热度：37

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Statistical Change Detection for Multi-Dimensional Data [多维数据的统计变化检测]
  Xiuyao Song(佛罗里达大学) This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data ...
热度：137

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Event Summarization for System Management[系统管理事件汇总]
  Wei Peng(佛罗里达大学) In system management applications, an overwhelming amount of data are generated and collected in the form of temporal events. While mining temporal ev...
热度：30
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