Global-Local Partial Least Squares
Discriminant Analysis And Its
Extension In Reproducing Kernel
Hilbert Space

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Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space

Subspace learning is an essential approach for learning a low dimensional representation of a high dimensional space. When data samples are represented as points in a high dimensional space, learning with the high dimensionality becomes challenging as the effectiveness and efficiency of the learn...

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Bibliographic Details
Main Author:	Muhammad, Aminu
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/51628/ http://eprints.usm.my/51628/1/AMINU%20MUHAMMAD.pdf

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