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Variational Bayesian inference for a Dirichlet process mixture of beta distributions and application

  • Published:2018-02 Issue: Volume:278 Page:23-33
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Lai Yuping,Ping Yuan,Xiao Ke,Hao Bin,Zhang Xiufeng

Funder

National Natural Science Foundation of China

Foundation of He’nan Educational Committee

Xuchang University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference58 articles.

1. Finite Mixture Models;Mclachlan,2000

2. Pattern Recognition and Machine Learning;Bishop,2006

3. Speaker verification using adapted Gaussian mixture models;Reynolds;Digital Signal Processing,2000

4. Robust text-independent speaker identification using Gaussian mixture speaker models;Reynolds;IEEE Trans. Speech Audio Processing,1995

5. Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization;Ma;Signal Processing,2014

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