Jamieson Schulte

Computer Vision and Pattern Recognition · 2000–2007

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jamieson Schulte trusts overall

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

  1. Ashutosh Saxena
  2. Daniel Scharstein
  3. Jeff Michels
  4. Andrew Y. Ng

Who trusts Jamieson Schulte overall

  1. Ashutosh Saxena
  2. Congcong Li
  3. Andrew Y. Ng

Papers from Jamieson Schulte's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  3. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. ImageNet classification with deep convolutional neural networks
  5. Geometric context from a single image
  6. Multiscale conditional random fields for image labeling
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. A tutorial on hidden Markov models and selected applications in speech recognition
  9. Gradient-based learning applied to document recognition
  10. Learning Depth from Single Monocular Images

Their papers