T. Sauer

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Sauer trusts overall

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

  1. Mikhail Belkin
  2. Boaz Nadler
  3. Ronald R. Coifman
  4. Partha Niyogi
  5. Amit Singer
  6. Stéphane Lafon

Papers from T. Sauer's perspective

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

  1. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  2. Diffusion maps, spectral clustering and reaction coordinates of dynamical systems
  3. On Spectral Clustering: Analysis and an algorithm
  4. Normalized cuts and image segmentation
  5. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
  6. Learning with Local and Global Consistency
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. From graph to manifold Laplacian: The convergence rate

Their papers