Stephan Schmidt
with Albayrak · 2010
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Stephan Schmidt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Stephan Schmidt overall
Papers from Stephan Schmidt's perspective
Ordered by how strongly the researchers Stephan Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- On Spectral Clustering: Analysis and an algorithm
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Kernel k-means: spectral clustering and normalized cuts
Their papers
- Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization (2010) — 452 citations