Adaptive Feature Selection With Augmented Attributes

In many dynamic environment applications, with the evolution of data collection ways, the data attributes are incremental and the samples are stored with accumulated feature spaces gradually. For instance, in the neuroimaging-based diagnosis of neuropsychiatric disorders, with emerging of diverse te...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-08, Vol.45 (8), p.9306-9324
Hauptverfasser:	Hou, Chenping, Fan, Ruidong, Zeng, Ling-Li, Hu, Dewen
Format:	Artikel
Sprache:	eng
Schlagworte:	<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> ell _{0}</tex-math> </inline-formula> </named-content> <mml:math> <mml:msub> <mml:mi>ℓ</mml:mi> <mml:mn>0</mml:mn> </mml:msub> </mml:math> <inline-graphic xlink:href="hou-ieq3-3238011.gif" xlink:type="simple"/> </named-content>-norm Algorithms Augmented attributes Clustering algorithms Convergence Covariance matrices Data collection Data models Effectiveness Feature extraction Feature selection Medical imaging Optimization Principal component analysis reusability
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!