J. Paik

Computer Vision and Pattern Recognition · 2005–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Paik trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Yuhai Wu
  3. R. Fisher

Papers from J. Paik's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Neural network-based face detection
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. Eigenfaces for Recognition
  5. A Morphable Model For The Synthesis Of 3D Faces
  6. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  7. Low-dimensional procedure for the characterization of human faces.
  8. Statistical Learning Theory
  9. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
  10. Example-Based Learning for View-Based Human Face Detection

Their papers