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A dynamic Bayesian network based structural learning towards automated handwritten digit recognition

Pauplin, O and Jiang, J (2010) A dynamic Bayesian network based structural learning towards automated handwritten digit recognition In: 5th International Conference, HAIS 2010, 2010-06-23 - 2010-06-25, San Sebastian, Spain.

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Abstract

Pattern recognition using Dynamic Bayesian Networks (DBNs) is currently a growing area of study. In this paper, we present DBN models trained for classification of handwritten digit characters. The structure of these models is partly inferred from the training data of each class of digit before performing parameter learning. Classification results are presented for the four described models.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Pauplin, OUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Date : 2010
Identification Number : https://doi.org/10.1007/978-3-642-13769-3_15
Contributors :
ContributionNameEmailORCID
publisherSpringer, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835246

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