Brian Cheung

Fusion · with Davey · 2008

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Who trusts Brian Cheung

  1. B. Vo (in Artificial Intelligence)
  2. Nam Trung Pham (in Artificial Intelligence)
  3. David Suter (in Artificial Intelligence)

Papers from Brian Cheung's perspective

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

  1. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  2. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
  3. Learning the Distribution of Object Trajectories for Event Recognition
  4. Sequential Monte Carlo Methods in Practice
  5. A system for learning statistical motion patterns (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. A tutorial on hidden Markov models and selected applications in speech recognition
  7. A Tutorial on Particle Filtering and Smoothing: Fifteen years later
  8. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
  9. Good features to track
  10. A Random-Finite-Set Approach to Bayesian SLAM (IEEE Transactions on robotics)

Their papers