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Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data Cover

Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data

International Journal of Applied Mathematics and Computer Science
Volume 25 (2015): Issue 4 (December 2015)
By: Rasa Karbauskaitė and  Gintautas Dzemyda  
Open Access
|Dec 2015

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DOI: https://doi.org/10.1515/amcs-2015-0064 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 895 - 913
Submitted on: Sep 11, 2014
Published on: Dec 30, 2015
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
multidimensional data,
intrinsic dimensionality,
maximum likelihood estimator,
manifold learning methods,
image understanding
Related subjects:
Mathematics,
Applied mathematics

© 2015 Rasa Karbauskaitė, Gintautas Dzemyda, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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