Adaptive mixtures: Recursive nonparametric pattern recognition
- 1 January 1991
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 24 (12) , 1197-1209
- https://doi.org/10.1016/0031-3203(91)90145-u
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Adaptive mixture density estimationPattern Recognition, 1993
- Outlier-resistant algorithms for detecting a change in a stochastic processIEEE Transactions on Information Theory, 1989
- The reduced Parzen classifierIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- An algorithm for detecting a change in a stochastic processIEEE Transactions on Information Theory, 1986
- Mixture Densities, Maximum Likelihood and the EM AlgorithmSIAM Review, 1984
- Almost sure convergence of classification procedures using Hermite series density estimatesPattern Recognition Letters, 1983
- Remarks on Some Recursive Estimators of a Probability DensityThe Annals of Statistics, 1979
- Maximum Likelihood from Incomplete Data Via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
- Nonparametric Roughness Penalties for Probability DensitiesBiometrika, 1971
- Asymptotically optimal discriminant functions for pattern classificationIEEE Transactions on Information Theory, 1969