Non-negative Dimensionality Reduction for Mammogram Classification

Non-negative Dimensionality Reduction for Mammogram Classification

Directly classifying high dimensional datamay exhibit the ``curse of dimensionality'' issue thatwould negatively influence the classificationperformance with an increase in the computationalload, depending also on the classifier structure. Whenworking with classifiers not affected by this...

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Bibliographic Details
Main Authors: I. Buciu, A. Gacsadi
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2009-05-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
non-negative matrix factorization
feature extraction
mammogram classification
Online Access:http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EL_nr_1/JEEE_2009_Nr_1_EL_Buciu_NonNegative.pdf

Internet

http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EL_nr_1/JEEE_2009_Nr_1_EL_Buciu_NonNegative.pdf

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