Kaspar Riesen

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 8 papers; trusts 27 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Kaspar Riesen trusts overall

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

  1. Elzbieta Pekalska
  2. Michel Neuhaus
  3. Dorin Comaniciu
  4. Bin Luo
  5. Nils J. Nilsson
  6. Horst Bunke
  7. Karsten M. Borgwardt
  8. Robert P. W. Duin
  9. Liva Ralaivola
  10. Pasquale Foggia

Who trusts Kaspar Riesen overall

  1. Yunsheng Bai
  2. Haoyang Ding
  3. L. V. D. van der Maaten
  4. Ehsan Zare Borzeshi
  5. Zeina Abu-Aisheh
  6. Yongjiang Liang
  7. Horst Bunke
  8. Yang Qiao
  9. Adam Gaier
  10. Haibin Zhu

Papers from Kaspar Riesen's perspective

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

  1. Some methods for classification and analysis of multivariate observations
  2. Gradient-based learning applied to document recognition
  3. LIBSVM: A library for support vector machines
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Prototype selection for dissimilarity-based classifiers (Pattern Recognition)
  6. Isomorphism of graphs of bounded valence can be tested in polynomial time
  7. ImageNet classification with deep convolutional neural networks
  8. The Hungarian method for the assignment problem
  9. The Graph Neural Network Model
  10. The Nature of Statistical Learning Theory

Their papers