Seiichi Gohshi

2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Seiichi Gohshi trusts overall

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

  1. Yoav Freund
  2. Paul A. Viola
  3. Rainer Lienhart

Papers from Seiichi Gohshi's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. Robust Real-Time Face Detection
  3. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection (DAGM-Symposium)
  4. Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf]
  5. Facebook and Online Privacy: Attitudes, Behaviors, and Unintended Consequences (J. Comput. Mediat. Commun.)
  6. Safebook: A privacy-preserving online social network leveraging on real-life trust (IEEE Communications Magazine)
  7. Statistical learning theory
  8. Efficient Pattern Recognition Using a New Transformation Distance
  9. Comparison of learning algorithms for handwritten digit recognition
  10. Neural network-based face detection

Their papers