Hung Gia Hoang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hung Gia Hoang trusts overall

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

  1. B. Vo
  2. Ronald P. S. Mahler
  3. Radford M. Neal
  4. Ba-Ngu Vo
  5. Stuart Geman
  6. Songhwai Oh
  7. John Mullane
  8. Stephan Reuter
  9. Donald Geman
  10. Dinh Q. Phung

Papers from Hung Gia Hoang's perspective

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

  1. Sequential Monte Carlo methods for multitarget filtering with random finite sets (IEEE Transactions on Aerospace and Electronic Systems)
  2. Statistical Multisource-Multitarget Information Fusion
  3. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
  4. The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (IEEE Transactions on Signal Processing)
  5. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  6. PHD filters of higher order in target number (IEEE Transactions on Aerospace and Electronic Systems)
  7. Annealed importance sampling
  8. Joint Detection and Estimation of Multiple Objects From Image Observations (IEEE Transactions on Signal Processing)
  9. A Random-Finite-Set Approach to Bayesian SLAM (IEEE Transactions on robotics)
  10. Multitarget Bayes filtering via first-order multitarget moments

Their papers