Christina Müller

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Müller trusts overall

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

  1. Jianguo Zhang
  2. David G. Lowe
  3. Alexander Zien

Papers from Christina Müller's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  3. The Nature of Statistical Learning Theory
  4. ImageNet classification with deep convolutional neural networks
  5. Support-Vector Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. One-shot learning of object categories
  10. Statistical learning theory

Their papers