Feature extraction via dependence structure optimization

Feature extraction via dependence structure optimization

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In many important real world applications the initial representation of the data is inconvenient, or even prohibitive for further analysis. For example, in image analysis, text analysis and computational genetics high-dimensional, massive, structural, incomplete, and noisy data sets are common. Ther...

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Bibliographic Details
Main Author: Daniušis, Povilas
Other Authors: Vaitkus, Pranas
Format: Doctoral Thesis
Language:English
Published: Lithuanian Academic Libraries Network (LABT) 2012
Subjects:
Informatics
Feature extraction
Dimensionality reduction
Dependence maximization
Dependence optimization
HSIC
Požymių išskyrimas
Dimensijos mažinimas
Priklausomumo maksimizavimas
Priklausomumo optimizavimas
Online Access:http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010/DS.005.1.01.ETD

Internet

http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010/DS.005.1.01.ETD

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