Volker Schmidt

with Spodarev · 2005

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Volker Schmidt trusts overall

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

  1. Frank T. Mücklich
  2. Daniel Hug

Papers from Volker Schmidt's perspective

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

  1. On support measures in Minkowski spaces and contact distributions in stochastic geometry
  2. Statistical Analysis of Microstructures in Materials Science
  3. Gradient-based learning applied to document recognition
  4. Steel defect classification with Max-Pooling Convolutional Neural Networks (IEEE International Joint Conference on Neural Network)
  5. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Fully convolutional networks for semantic segmentation
  8. An Overview of Dual-Phase Steels: Advances in Microstructure-Oriented Processing and Micromechanically Guided Design
  9. Steels: Processing, Structure, And Performance
  10. Characterisation and Quantification of Complex Bainitic Microstructures in High and Ultra-High Strength Linepipe Steels

Their papers