Michael C. Burl

IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops · 2008

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Michael C. Burl trusts overall

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

  1. David G. Lowe
  2. Simon Tong

Who trusts Michael C. Burl overall

  1. Yarin Gal

Papers from Michael C. Burl's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. The Nature of Statistical Learning Theory
  3. Caltech-256 Object Category Dataset
  4. Query by committee
  5. Employing EM and Pool-Based Active Learning for Text Classification
  6. Active Learning with Gaussian Processes for Object Categorization
  7. The Nature of Statistical Learning
  8. Support vector machine active learning for image retrieval
  9. Gradient-based learning applied to document recognition
  10. ImageNet classification with deep convolutional neural networks

Their papers