V. Chagin

International Conference on Medical Image Computing and Computer-Assisted Intervention · 2009

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

Whom V. Chagin trusts overall

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

  1. Chih-Jen Lin

Papers from V. Chagin's perspective

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

  1. LIBSVM: A library for support vector machines
  2. Normalized cuts and image segmentation
  3. Regression Shrinkage and Selection via the Lasso
  4. Non-negative sparse coding
  5. Learning the parts of objects by non-negative matrix factorization
  6. Algorithms for Non-negative Matrix Factorization
  7. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
  8. Gradient-based learning applied to document recognition
  9. On Spectral Clustering: Analysis and an algorithm
  10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers