Shih-Lung Shaw

Transportation · 2011–2014

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shih-Lung Shaw trusts overall

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

  1. Mei-Po Kwan
  2. Paul J. Werbos
  3. C. Burges
  4. John F. Canny
  5. Z. Kim

Who trusts Shih-Lung Shaw overall

  1. Jingjuan Jiao

Papers from Shih-Lung Shaw's perspective

Ordered by how strongly the researchers Shih-Lung Shaw trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Tutorial on Support Vector Machines for Pattern Recognition
  2. Lane detection and tracking using B-Snake (Image and Vision Computing)
  3. Random Forests
  4. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
  5. Introduction to Support Vector Machines
  6. A decision-theoretic generalization of on-line learning and an application to boosting
  7. Color-based road detection in urban traffic scenes (IEEE transactions on intelligent transportation systems (Print))
  8. Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision
  9. A Computational Approach to Edge Detection
  10. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework

Their papers