Matthias Daniel Kohler

Computational Theory and Mathematics · 2014–2019

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Daniel Kohler trusts

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

  1. Yu Zhong (in Computer Vision and Pattern Recognition)
  2. Morgan Quigley (in Robotics & Control)
  3. Gisbert Schneider (in Computational Theory and Mathematics)

Papers from Matthias Daniel Kohler's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Fast Point Feature Histograms (FPFH) for 3D registration
  3. Rotational Projection Statistics for 3D Local Surface Description and Object Recognition (International Journal of Computer Vision)
  4. Intrinsic shape signatures: A shape descriptor for 3D object recognition (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops)
  5. 3D free-form object recognition in range images using local surface patches (Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.)
  6. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  7. Et al
  8. ROS: an open-source Robot Operating System
  9. Automating drug discovery (Nature reviews. Drug discovery)
  10. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data

Their papers