图 书 馆开课单位--纽约大学
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31A Factor Model for Learning Higher Order Features in Natural Images[自然图像中学习高阶特征的一个因子模型]
Yan Karklin(纽约大学) The visual system is a hierarchy of processing stages. Each stage in this pathway, in addition to encoding increasingly complex features of the input,...
热度：48
Yan Karklin(纽约大学) The visual system is a hierarchy of processing stages. Each stage in this pathway, in addition to encoding increasingly complex features of the input,...
热度：48
3233Tightening LP Relaxations for MAP using Message Passing[收紧线性规划松弛用于地图使用消息传递]
David Sontag(纽约大学) Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxat...
热度：51
David Sontag(纽约大学) Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxat...
热度：51
34A Comprehensive Model of All Astronomical Imaging Ever Taken[一种全天文成像的综合模型]
David W. Hogg(纽约大学) In astrophysics we are beginning to work with extremely large data sets. However, unlike in most other data-science domains, we have a reasonable hand...
热度：25
David W. Hogg(纽约大学) In astrophysics we are beginning to work with extremely large data sets. However, unlike in most other data-science domains, we have a reasonable hand...
热度：25
35Theories of Everything[万有理论 ]
David W. Hogg(纽约大学) Cosmology, at the present day, works with static catalogs (of, say, galaxies) and point estimates of fundamental physical quantities (of, for example,...
热度：30
David W. Hogg(纽约大学) Cosmology, at the present day, works with static catalogs (of, say, galaxies) and point estimates of fundamental physical quantities (of, for example,...
热度：30
36Patient Surveillance Algorithms for the Emergency Department[急诊科病人监控算法 ]
Yonatan Halpern(纽约大学) Physicians in the emergency department must rapidly gather and synthesize large amounts of data from disparate sources in order to make treatment deci...
热度：41
Yonatan Halpern(纽约大学) Physicians in the emergency department must rapidly gather and synthesize large amounts of data from disparate sources in order to make treatment deci...
热度：41
37A blind deconvolution method for neural spike identification[一种用于神经突点识别的盲反褶积方法]
Chaitanya Ekanadham(纽约大学) We consider the problem of estimating neural spikes from extracellular voltage recordings. Most current methods are based on clustering, which require...
热度：50
Chaitanya Ekanadham(纽约大学) We consider the problem of estimating neural spikes from extracellular voltage recordings. Most current methods are based on clustering, which require...
热度：50
38Complexity of Inference in Latent Dirichlet Allocation[潜在狄利克雷分配中推理的复杂性]
David Sontag(纽约大学) We consider the computational complexity of probabilistic inference in Latent Dirichlet Allocation (LDA). First, we study the problem of finding the m...
热度：71
David Sontag(纽约大学) We consider the computational complexity of probabilistic inference in Latent Dirichlet Allocation (LDA). First, we study the problem of finding the m...
热度：71
39Reinforcement Learning in Humans and Other Animals[加强人类和其他动物的学习]
Nathaniel Daw(纽约大学) Algorithms from computer science can serve as detailed process-level hypotheses for how the brain might approach difficult information processing prob...
热度：45
Nathaniel Daw(纽约大学) Algorithms from computer science can serve as detailed process-level hypotheses for how the brain might approach difficult information processing prob...
热度：45
40Semi-Supervised Learning in Gigantic Image Collections[大型图像采集中的半监督学习]
Rob Fergus(纽约大学) With the advent of the Internet it is now possible to collect hundreds of millions of images. These images come with varying degrees of label informat...
热度：44
Rob Fergus(纽约大学) With the advent of the Internet it is now possible to collect hundreds of millions of images. These images come with varying degrees of label informat...
热度：44