Ronald Miller

Computer Vision and Pattern Recognition · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ronald Miller trusts overall

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

  1. David G. Lowe
  2. Vladimir Naumovich Vapnik
  3. Vladimir Naumovich Vapni
  4. C. Burges
  5. David E. Goldberg
  6. Kah Kay Sung
  7. Tomaso A. Poggio
  8. Constantine Papageorgiou
  9. Anil K. Jain
  10. Takeo Kanade

Who trusts Ronald Miller overall

  1. Rafael Padilla

Papers from Ronald Miller's perspective

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

  1. Object recognition from local scale-invariant features
  2. Neural network-based face detection
  3. The Nature of Statistical Learning Theory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Unsupervised Learning of Models for Recognition
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Eigenfaces for Recognition

Their papers