图 书 馆开课单位--慕尼黑大学
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1Adversarial Attacks on Neural Networks for Graph Data[神经网络对图数据的对抗攻击]
Daniel Zügner(慕尼黑大学) Deep learning models for graphs have achieved strong performance for the task of node classification. Despite their proliferation, currently there is ...
热度：37
Daniel Zügner(慕尼黑大学) Deep learning models for graphs have achieved strong performance for the task of node classification. Despite their proliferation, currently there is ...
热度：37
2LSD-SLAM: Large-Scale Direct Monocular SLAM[LSD-SLAM：大范围直接单眼SLAM]
Jakob Engel(慕尼黑大学) We propose a direct (feature-less) monocular SLAM algorithm which, in contrast to current state-of-the-art regarding direct methods, allows to build l...
热度：64
Jakob Engel(慕尼黑大学) We propose a direct (feature-less) monocular SLAM algorithm which, in contrast to current state-of-the-art regarding direct methods, allows to build l...
热度：64
3Multi-view Pictorial Structures for 3D Human Pose Estimation[三维人体姿态估计的多视图图形结构]
Sikandar Amin(慕尼黑大学) Pictorial structure models are the de facto standard for 2D human pose estimation. Numerous refinements and improvements have been proposed such as di...
热度：47
Sikandar Amin(慕尼黑大学) Pictorial structure models are the de facto standard for 2D human pose estimation. Numerous refinements and improvements have been proposed such as di...
热度：47
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5Mobility Promotes and Jeopardizes Biodiversity in Rock-Paper-Scissors Games[流动性推动和剪刀，石头，布游戏危害到生物多样性]
Tobias Reichenbach(慕尼黑大学) Counterintuitive to a naive understanding of Darwinian evolution, where among two interacting species one is expected to be fitter than the other and ...
热度：37
Tobias Reichenbach(慕尼黑大学) Counterintuitive to a naive understanding of Darwinian evolution, where among two interacting species one is expected to be fitter than the other and ...
热度：37
6Relation-Prediction in Multi-Relational Domains using Matrix-Factorization[基于矩阵分解的多关系域关系预测]
Hans-Peter Kriegel; Stefan-Hagen Weber;Christoph Lippert; Yi Huang; Matthias Schubert, Volker Tresp(慕尼黑大学)
热度：57
Hans-Peter Kriegel; Stefan-Hagen Weber;Christoph Lippert; Yi Huang; Matthias Schubert, Volker Tresp(慕尼黑大学)
热度：57
7Combining near-optimal feature selection with gSpan[将近似最佳特征选择与gSpan相结合]
Marisa Thoma(慕尼黑大学) Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, compute...
热度：55
Marisa Thoma(慕尼黑大学) Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, compute...
热度：55
8Fast Inference in Infinite Hidden Relational Models[无限隐藏关系模型中的快速推理]
Zhao Xu(慕尼黑大学) Relational learning is an area of growing interest in machine learning (Dzeroski & Lavrac, 2001; Friedman et al., 1999; Raedt & Kersting, 2003). Xu ...
热度：34
Zhao Xu(慕尼黑大学) Relational learning is an area of growing interest in machine learning (Dzeroski & Lavrac, 2001; Friedman et al., 1999; Raedt & Kersting, 2003). Xu ...
热度：34
9Robustness and Generalizability for Markovian Samples[马尔可夫样本的鲁棒性和广义性]
Zhao Xu(慕尼黑大学) We consider robustness of learning algorithms and prove that under a very general setup, robustness of an algorithm implies that it generalizes, and c...
热度：64
Zhao Xu(慕尼黑大学) We consider robustness of learning algorithms and prove that under a very general setup, robustness of an algorithm implies that it generalizes, and c...
热度：64
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