Maximum Entropy and Gaussian Models for Image Object Recognition
- 10 October 2002
- book chapter
- Published by Springer Nature
- p. 498-506
- https://doi.org/10.1007/3-540-45783-6_60
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Statistical Image Object Recognition using Mixture DensitiesJournal of Mathematical Imaging and Vision, 2001
- Experiments with an extended tangent distancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Discriminative Training of Gaussian Mixtures for Image Object RecognitionPublished by Springer Nature ,1999
- Transformation Invariance in Pattern Recognition — Tangent Distance and Tangent PropagationPublished by Springer Nature ,1998
- Maximum Mutual Information Estimation of Hidden Markov ModelsPublished by Springer Nature ,1996
- On the rationale of maximum-entropy methodsProceedings of the IEEE, 1982
- Generalized Iterative Scaling for Log-Linear ModelsThe Annals of Mathematical Statistics, 1972