图 书 馆开课单位--威斯康星大学
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1Manifold-valued Dirichlet Processes[流形值狄利克雷过程]
Hyunwoo J. Kim(威斯康星大学) Statistical models for manifold-valued data permit capturing the intrinsic nature of the curved spaces in which the data lie and have been a topic of ...
热度：37
Hyunwoo J. Kim(威斯康星大学) Statistical models for manifold-valued data permit capturing the intrinsic nature of the curved spaces in which the data lie and have been a topic of ...
热度：37
2Vloga medicinske fizike v času natančne medicine[医学物理学在精确医学时代的作用 ]
Robert Jeraj(威斯康星大学) Medicinska fizika je tesno povezana z medicino; zato se tudi razvija v podobni smeri. Ključni trend v medicini, predvsem onkologiji, je usmerjen v per...
热度：47
Robert Jeraj(威斯康星大学) Medicinska fizika je tesno povezana z medicino; zato se tudi razvija v podobni smeri. Ključni trend v medicini, predvsem onkologiji, je usmerjen v per...
热度：47
3Toward Text-to-Picture Synthesis[向文本到图像合成]
Andrew B. Goldberg(威斯康星大学) It is estimated that more that 2 million people in the United States have significant communication impairments that result in them relying on methods...
热度：56
Andrew B. Goldberg(威斯康星大学) It is estimated that more that 2 million people in the United States have significant communication impairments that result in them relying on methods...
热度：56
45Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors[基于Dirichlet森林先验的领域知识与主题建模]
David Andrzejewski(威斯康星大学) Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We inc...
热度：35
David Andrzejewski(威斯康星大学) Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We inc...
热度：35
6Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures[缩影驱动3 D扩散张量图像分割：对提取的具体结构]
Kamiya Motwani(威斯康星大学) We study the problem of segmenting specific white matter structures of interest from Diffusion Tensor (DT-MR) images of the human brain. This is an im...
热度：42
Kamiya Motwani(威斯康星大学) We study the problem of segmenting specific white matter structures of interest from Diffusion Tensor (DT-MR) images of the human brain. This is an im...
热度：42
7Optimization Algorithms in Machine Learning[机器学习中的优化算法]
Stephen J. Wright(威斯康星大学) Optimization provides a valuable framework for thinking about, formulating, and solving many problems in machine learning. Since specialized technique...
热度：64
Stephen J. Wright(威斯康星大学) Optimization provides a valuable framework for thinking about, formulating, and solving many problems in machine learning. Since specialized technique...
热度：64
8Optimization in Learning and Data Analysis[优化学习和数据分析]
Stephen J. Wright(威斯康星大学) Optimization tools are vital to data analysis and learning. The optimization perspective has provided valuable insights, and optimization formulations...
热度：52
Stephen J. Wright(威斯康星大学) Optimization tools are vital to data analysis and learning. The optimization perspective has provided valuable insights, and optimization formulations...
热度：52
9Tracking dynamic point processes on networks[网络上动态点过程的跟踪]
Rebecca Willett(威斯康星大学) Cascading chains of events are a salient feature of many real-world social, biological, and financial networks. In social networks, social reciprocity...
热度：46
Rebecca Willett(威斯康星大学) Cascading chains of events are a salient feature of many real-world social, biological, and financial networks. In social networks, social reciprocity...
热度：46
10Humans Learn Using Manifolds, Reluctantly[人类学会用流形]
Jerry (Xiaojin) Zhu(威斯康星大学) When the distribution of unlabeled data in feature space lies along a manifold, the information it provides may be used by a learner to assist classif...
热度：63
Jerry (Xiaojin) Zhu(威斯康星大学) When the distribution of unlabeled data in feature space lies along a manifold, the information it provides may be used by a learner to assist classif...
热度：63