27 June 1988 On The Acceleration Of Maximum Likelihood Algorithms
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles E. Metz, Charles E. Metz, Chin-Tu Chen, Chin-Tu Chen, } "On The Acceleration Of Maximum Likelihood Algorithms", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968650; https://doi.org/10.1117/12.968650

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