Statistical learning: generative model for dimensionality reduction, clustering, and shape analysis

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Title Statistical learning: generative model for dimensionality reduction, clustering, and shape analysis
Publication Type dissertation
School or College College of Engineering
Department Computing
Author Yu, Yen-yun
Date 2016
Description Statistical learning theory has garnered attention during the last decade because it provides the theoretical and mathematical framework for solving pattern recognition problems, such as dimensionality reduction, clustering, and shape analysis. In statist
Type Text
Publisher University of Utah
Subject clustering; dimensionality reduction; generative model; semisupervised learning; shape analysis; statistical learning
Dissertation Name Doctor of Philosophy
Language eng
Rights Management ¬©Yen-yun Yu
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s67t1wx6
Setname ir_etd
ID 1373955
Reference URL https://collections.lib.utah.edu/ark:/87278/s67t1wx6
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