M. Rucka

2006

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Whom M. Rucka trusts overall

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

  1. Stéphane Mallat

Who trusts M. Rucka overall

  1. Ugo Andreaus
  2. Paolo Casini
  3. Shuncong Zhong
  4. S. Olutunde Oyadiji
  5. Chen Yang
  6. Arcangelo Messina
  7. Richard Buessow
  8. S. Lee

Papers from M. Rucka's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Gradient-based learning applied to document recognition
  3. Histograms of oriented gradients for human detection
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. This PDF file includes: Materials and Methods
  7. Building high-level features using large scale unsupervised learning
  8. GradientBased Learning Applied to Document Recognition
  9. ImageNet classification with deep convolutional neural networks
  10. Maxout Networks

Their papers