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EM Algorithm for Segregation Analysis

โœ Scribed by N. R. Achuthan; T. Krishnan

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
713 KB
Volume
34
Category
Article
ISSN
0323-3847

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๐Ÿ“œ SIMILAR VOLUMES

Convergence analysis for a multiplicativ
Convergence analysis for a multiplicatively relaxed EM algorithm
โœ Alfredo N. Iusem ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 810 KB

## Abstract The expectation maximization (EM) algorithm is an iterative procedure used to determine maximum likelihood estimators in situations of incomplete data. In the case of independent Poisson variables it converges to a solution of a problem of the form min โˆ‘[ใ€ˆ__a__^i^,__x__ใ€‰ โˆ’ __b__~i~ log

AN ALGORITHM FOR THE SEGREGATED STORAGE
AN ALGORITHM FOR THE SEGREGATED STORAGE PROBLEM
โœ A. W. Neebe; M. R. Rao ๐Ÿ“‚ Article ๐Ÿ“… 1976 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 717 KB

## Abstract The segregated storage problem involves the optimal distribution of products among compartments with the restriction that only one product may be stored in each compartment. The storage capacity of each compartment, the storage demand for each product, and the linear cost of storing one

Image segmentation using multiresolution
Image segmentation using multiresolution wavelet analysis and expectation-maximization (EM) algorithm for digital mammography
โœ C. H. Chen; G. G. Lee ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 301 KB

This article presents a novel algorithm for image segbeen developed for classification purposes. In addition, many mentation via the use of the multiresolution wavelet analysis and the authors have discovered significant advantages in the use of the expectation maximization (EM) algorithm. The devel