Learning mixture models using a genetic version of the EM algorithm
- 31 July 2000
- journal article
- research article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 21 (8), 759-769
- https://doi.org/10.1016/s0167-8655(00)00031-3
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Evolutionary computation: an overviewPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Recognition of partially occluded and/or imprecisely localized faces using a probabilistic approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Modeling the manifolds of images of handwritten digitsIEEE Transactions on Neural Networks, 1997
- Reconstructing 3D light microscopic images using the EM algorithmPattern Recognition Letters, 1996
- The expectation-maximization algorithmIEEE Signal Processing Magazine, 1996
- Hidden Markov Models in Computational BiologyJournal of Molecular Biology, 1994
- Tools for Statistical InferenceLecture Notes in Statistics, 1991
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989
- Mixture Densities, Maximum Likelihood and the EM AlgorithmSIAM Review, 1984