Graph embedding based feature selection

Usually many real datasets in pattern recognition applications contain a large quantity of noisy and redundant features that are irrelevant to the intrinsic characteristics of the dataset. The irrelevant features may seriously deteriorate the learning performance. Hence feature selection which aims...

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Bibliographic Details
Main Authors: Wei, Dan., Li, Shutao., Tan, Mingkui.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/84508
http://hdl.handle.net/10220/13651
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Institution: Nanyang Technological University
Language: English

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