Gilles Celeux

Statistics and Probability · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2000–2010

A researcher in the Science corpus: 8 papers; trusts 15 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #792 of 12,932 by trust here, #725 by citations
• Artificial Intelligence — 10 citations into it; #3,030 of 35,345 by trust here, #4,772 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Gilles Celeux trusts overall

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

1. Julian Besag
2. Geoffrey J. McLachlan
3. Radford M. Neal
4. Arthur P. Dempster
5. Stuart Geman
6. James S. Hodges
7. Hirotugu Akaike
8. Padhraic Smyth
9. Jean-Michel Marin
10. David J. Spiegelhalter

Who trusts Gilles Celeux overall

1. Christian P. Robert
2. Martyn Plummer
3. Bettina Grün
4. Anna Pajor
5. Matthew Stephens
6. Adrian E. Raftery
7. M. A. Rahman
8. Paul David McNicholas
9. Jean-Michel Marin
10. Aki Vehtari

Papers from Gilles Celeux's perspective

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

1. Estimating the Dimension of a Model
2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
3. Computational and Inferential Difficulties with Mixture Posterior Distributions
4. Mixture models : inference and applications to clustering
5. Model-Based Clustering, Discriminant Analysis, and Density Estimation
6. Sampling from multimodal distributions using tempered transitions
7. Finite Mixture Models (Wiley Series in Probability and Statistics)
8. Max-imum Likelihood from Incomplete Data
9. Statistical Analysis of Non-Lattice Data
10. Counting degrees of freedom in hierarchical and other richly-parameterised models

Their papers

• Introduction to the Special Section on Video Surveillance (2000) — 474 citations
• Computational and Inferential Difficulties with Mixture Posterior Distributions (2000) — 708 citations
• Deviance information criteria for missing data models (2006) — 943 citations
• Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (2000) — 1,616 citations
• Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models (2003) — 685 citations
• EM procedures using mean field-like approximations for Markov model-based image segmentation (2003) — 379 citations
• A Component-Wise EM Algorithm for Mixtures (2001) — 176 citations
• Combining Mixture Components for Clustering (2010) — 368 citations