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�������պ����ѧѧ�� 2006, Vol. 32 Issue (06) :695-699    DOI:
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Ѧ��1, Ѧ�ķ�2, ��־��1*
1. �������պ����ѧ �ѧԺ, ���� 100083;
2. �п�Ժ�Զ����о���, ���� 100080
Segmental training scheme for embedded hidden markov model
Xue Bindang1, Xue Wenfang2, Jiang Zhiguo1*
1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. Institute of Automation, Chinese Academy of Science, Beijing 100080, China

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Abstract�� A segmental scheme to retrain E-HMM(embedded hidden Markov models) for face recognition was presented. The current samples were assumed to be a subset of the whole training samples, after the training process, the E-HMM parameters and the necessary temporary parameters in the parameter re-estimating process were saved for the use of next step. When new training samples were added, the trained E-HMM parameters were chosen as the initial parameters, the E-HMM was retrained based on the new samples and the new temporary parameters were obtained. These temporary parameters were combined with the saved temporary parameters to form the final E-HMM parameters so that one person face was presented. Experiments on face database showed that the segmental training method was effective.
Keywords�� hidden markov model   segmental training   face recognition   stochastic modeling     
Received 2005-07-07;
About author: Ѧ��(1971-), ��, ������Ұ��, ��ʦ, xuebd@buaa.edu.cn.
Ѧ��, Ѧ�ķ�, ��־��.Ƕ��ʽ��Markovģ�͵ķֶ�ѵ������[J]  �������պ����ѧѧ��, 2006,V32(06): 695-699
Xue Bindang, Xue Wenfang, Jiang Zhiguo.Segmental training scheme for embedded hidden markov model[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(06): 695-699
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2006/V32/I06/695
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