Kunihiko Sadamasa

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kunihiko Sadamasa trusts

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

  1. Thorsten Joachims (in Computer Vision and Pattern Recognition)

Who trusts Kunihiko Sadamasa

  1. Florent Perronnin (in Computer Vision and Pattern Recognition)
  2. Jason Aaron Edward Weston (in Artificial Intelligence)

Papers from Kunihiko Sadamasa's perspective

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

  1. Latent Dirichlet Allocation
  2. Indexing by Latent Semantic Analysis
  3. Optimizing search engines using clickthrough data
  4. Semantic hashing
  5. Supervised Topic Models
  6. Learning to rank using gradient descent
  7. Large Margin Rank Boundaries for Ordinal Regression
  8. Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
  9. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  10. Learning to Rank with Nonsmooth Cost Functions

Their papers