Frank G. Zöllner

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Frank G. Zöllner trusts overall

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

  1. Chih-Jen Lin
  2. Foster J. Provost
  3. Bernhard E. Boser
  4. Lothar Rudi Schad
  5. Rehan Akbani
  6. Evangelia I. Zacharaki
  7. Isabelle M Guyon
  8. Vladimir Naumovich Vapnik
  9. Christopher K. I. Williams
  10. Aapo Hyvärinen

Who trusts Frank G. Zöllner overall

  1. Jakob Nikolas Kather
  2. Cleo-Aron Weis
  3. Francesco Bianconi
  4. Susanne Melchers

Papers from Frank G. Zöllner's perspective

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

  1. A training algorithm for optimal margin classifiers
  2. LIBSVM: A library for support vector machines
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. The Nature of Statistical Learning Theory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers