开课单位--格拉茨理工大学
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1
An Introduction to Ensemble and Boosting[集成与助推导论]
  Amir Saffari(格拉茨理工大学) An Introduction to Ensemble and Boosting
热度：15

2
Introduction to CLOP Machine Learning Toolbox[CLOP机器学习工具箱简介]
  Amir Saffari(格拉茨理工大学) Introduction to CLOP Machine Learning Toolbox
热度：14

3
Unsupervised Object Discovery and Segmentation in Videos[视频中的无监督目标发现与分割]
   Samuel Schulter(格拉茨理工大学) Unsupervised object discovery is the task of finding recurring objects over an unsorted set of images without any human supervision, which becomes mor...
热度：61

4
Incremental Line-based 3D Reconstruction using Geometric Constraints[基于几何约束的增量线三维重建]
   Manuel Hofer(格拉茨理工大学) Generating accurate 3D models for man-made environments can be a challenging task due to the presence of texture-less objects or wiry structures. Sinc...
热度：30

5
Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Modulated Hebbian Learning[运动皮层的功能网络重组可以用奖赏调制Hebbian学习来解释]
  Robert Legenstein(格拉茨理工大学) The control of neuroprosthetic devices from the activity of motor cortex neurons benefits from learning effects where the function of these neurons is...
热度：55
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