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Pattern Recognition using Mixture of Experts – A Review

Publication Type : Journal Article

Publisher : International journal of Advance Research in Science and Engineering

Source : International journal of Advance Research in Science and Engineering, Volume No.06, Issue No 12, Dec 2017

Url : http://ijarse.com/images/fullpdf/1512904729_SRC541.pdf

School : School of Arts and Sciences

Department : Mathematics

Year : 2017

Abstract : The present and possible future roles of Mixture of Experts and Hierarchical Mixture of Experts models, especially for pattern recognition is discussed and reviewed. Both supervised and unsupervised techniques are explored along with the various techniques for parameter estimation. The EM algorithm, which forms a vital part in most of the parameter estimation algorithms, is discussed in detail and its various forms of maximization procedures. A synthesis is made of the unresolved problems related to its application in image classification. Finally an outlook into the future applications of ME and HME has been presented.

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