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Estimating number of components in Gaussian mixture model using combination of greedy and merging algorithm

  1. 1.
    Štepánová, K. - Vavrečka, Michal
    Estimating number of components in Gaussian mixture model using combination of greedy and merging algorithm.
    Pattern Analysis and Applications. Roč. 21, č. 1 (2018), s. 181-192. ISSN 1433-7541. E-ISSN 1433-755X
    Impact factor: 1.410, year: 2018
    http://hdl.handle.net/11104/0280014

    Cited: 3

    --- DEMICHELIS, A. - OLIVIER, G. - BERTHOZ, A. Motor transfer from map ocular exploration to locomotion during spatial navigation from memory. EXPERIMENTAL BRAIN RESEARCH. ISSN 0014-4819, FEB 2013, vol. 224, no. 4, p. 605-611. [WOS]
    --- STEPHENS, K. - BORS, A.G. Modelling of interactions for the recognition of activities in groups of people. DIGITAL SIGNAL PROCESSING. ISSN 1051-2004, AUG 2018, vol. 79, p. 34-46. [WOS]
    --- PENG, W.S. - FANG, Y.W. - ZHAN, R.J. A variable step learning algorithm for Gaussian mixture models based on the Bhattacharyya coefficient and correlation coefficient criterion. NEUROCOMPUTING. ISSN 0925-2312, MAY 24 2017, vol. 239, p. 28-38. [WOS]
Number of the records: 1  

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