Thomas Bühler

International Conference on Machine Learning · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Whom Thomas Bühler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Miroslav Fiedler
2. Ulrike von Luxburg
3. Matthias Hein

Who trusts Thomas Bühler overall

1. Syama Sundar Rangapuram
2. Chaowei Fang
3. Matthias Hein
4. Anna Khoreva
5. Zicheng Liao
6. Fabio Galasso
7. Yizhou Yu

Papers from Thomas Bühler's perspective

Ordered by how strongly the researchers Thomas Bühler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Algebraic connectivity of graphs
2. Graph Laplacians and their Convergence on Random Neighborhood Graphs
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Spectral clustering based on the graph p-Laplacian (2009) — 346 citations