图 书 馆开课单位--布朗大学
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1Spatial Bayesian Nonparametrics for Natural Image Segmentation[用于自然图像分割的空间贝叶斯非参数]
Erik Sudderth(布朗大学) Spatial Bayesian Nonparametrics for Natural Image Segmentation
热度：17
Erik Sudderth(布朗大学) Spatial Bayesian Nonparametrics for Natural Image Segmentation
热度：17
216. Game-Based Learning[16.基于游戏的学习]
Daniel Byers(布朗大学) On a mission to teach their Aibo robo-dogs to play soccer, the Brown Robotics Group is designing an online video game experience where users can remot...
热度：23
Daniel Byers(布朗大学) On a mission to teach their Aibo robo-dogs to play soccer, the Brown Robotics Group is designing an online video game experience where users can remot...
热度：23
3Learning Rules: From PCFGs to Adaptor Grammars[学习规则：从PCFGs到适应语法]
Mark Johnson(布朗大学) Learning Rules: From PCFGs to Adaptor Grammars
热度：15
Mark Johnson(布朗大学) Learning Rules: From PCFGs to Adaptor Grammars
热度：15
4Probabilistic Models for Computational Linguistics[计算语言学的概率模型]
Mark Johnson(布朗大学) Probabilistic Models for Computational Linguistics
热度：18
Mark Johnson(布朗大学) Probabilistic Models for Computational Linguistics
热度：18
5Bodies In Motion: Dynamic Motion Capture[运动中的物体:动态运动捕捉]
Daniel Byers, Odest Chadwicke Jenkins, Leonid Sigal, Marek Vondrak(布朗大学) We explore the use of full-body 3D physical simulation for human kinematic tracking from monocular and multi-view video sequences within the Bayesian ...
热度：43
Daniel Byers, Odest Chadwicke Jenkins, Leonid Sigal, Marek Vondrak(布朗大学) We explore the use of full-body 3D physical simulation for human kinematic tracking from monocular and multi-view video sequences within the Bayesian ...
热度：43
6Escaping Groundhog Day[逃离土拨鼠日]
James MacGlashan(布朗大学) The dominant approaches to reinforcement learning rely on a fixed state-action space and reward function that the agent is trying to maximize. During ...
热度：37
James MacGlashan(布朗大学) The dominant approaches to reinforcement learning rely on a fixed state-action space and reward function that the agent is trying to maximize. During ...
热度：37
7Machine Learning in Health Informatics: Making Better use of Domain Experts[健康信息学中的机器学习：更好地利用领域专家]
Byron C. Wallace(布朗大学) We present novel machine learning and data mining methods that make real-world learning systems more efficient. We focus on the domain of clinical info...
热度：55
Byron C. Wallace(布朗大学) We present novel machine learning and data mining methods that make real-world learning systems more efficient. We focus on the domain of clinical info...
热度：55
8Why isn’t linguistics more useful in NLP?[为什么不是语言学更有用的神经语言程序学？]
Mark Johnson(布朗大学) 为什么不是语言学更有用的神经语言程序学？
热度：41
Mark Johnson(布朗大学) 为什么不是语言学更有用的神经语言程序学？
热度：41
9Local Ecologies of Knowledge, National Systems of Innovation, and Nanotech Research in the Global South[当地的生态知识，国家创新系统，并在全球南方纳米技术研究]
Geri Augusto(布朗大学) Science and technology studies tend to focus on the global South, and especially on Africa, mainly when “following the [Northern] scientist&rdqu...
热度：60
Geri Augusto(布朗大学) Science and technology studies tend to focus on the global South, and especially on Africa, mainly when “following the [Northern] scientist&rdqu...
热度：60
10Contour People: A Parameterized Model of 2D Articulated Human Shape[轮廓人：二维关节人体形状的参数化模型]
Oren Freifeld(布朗大学) We define a new “contour person” model of the human body that has the expressive power of a detailed 3D model and the computational benefi...
热度：46
Oren Freifeld(布朗大学) We define a new “contour person” model of the human body that has the expressive power of a detailed 3D model and the computational benefi...
热度：46