On The Acceleration Of Maximum Likelihood Algorithms

Charles E. Metz; Chin-Tu Chen

doi:10.1117/12.968650

27 June 1988 On The Acceleration Of Maximum Likelihood Algorithms

Charles E. Metz, Chin-Tu Chen

Proceedings Volume 0914, Medical Imaging II; (1988) https://doi.org/10.1117/12.968650
Event: Medical Imaging II, 1988, Newport Beach, CA, United States

Abstract

Maximum likelihood algorithms have the potential of producing improved estimates with high accuracy. The computational requirements often become prohibitively expensive, however, because of the slow rates of convergence of these algorithms. This paper discusses three classes of acceleration techniques by which convergence to the maximum likelihood solution can be sped up. Some characteristics of these acceleration methods are examined.

Citation Download Citation

Charles E. Metz and Chin-Tu Chen "On The Acceleration Of Maximum Likelihood Algorithms", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968650

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