Sparse robust adaptive unsupervised subspace learning for dimensionality reduction-Reference-Cited by-同舟云学术

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Sparse robust adaptive unsupervised subspace learning for dimensionality reduction

Published:2024-03 Issue: Volume:129 Page:107582
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Xiong Weizhi,Yu Guolin,Ma Jun,Liu Sheng

Funder

Natural Science Foundation of Ningxia Province

Fundamental Research Funds for the Central Universities

North Minzu University

Key Research and Development Program of Ningxia

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

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2. Support vector machine for multi-classification of mineral prospectivity areas;Abedi;Comput. Geosci.,2012

3. Should we really use post-hoc tests based on mean-ranks?;Alessio;Comput. Sci.,2015

4. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision;Black;Int. J. Comput. Vis.,1996

5. A review of feature selection methods on synthetic data;Boló́n-Canedo;Knowl. Inf. Syst.,2013

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