JOURNAL ARTICLE

Multi-label feature selection via robust flexible sparse regularization

Yonghao LiLiang HuWanfu Gao

Year: 2022 Journal:   Pattern Recognition Vol: 134 Pages: 109074-109074   Publisher: Elsevier BV
Keywords:
Feature selection Discriminative model Norm (philosophy) Computer science Redundancy (engineering) Pattern recognition (psychology) Minimum redundancy feature selection Artificial intelligence Regularization (linguistics) Benchmark (surveying) Machine learning Algorithm Data mining

Metrics

88
Cited By
17.23
FWCI (Field Weighted Citation Impact)
62
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Text and Document Classification Technologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Robust multi-label feature selection with dual-graph regularization

Juncheng HuYonghao LiWanfu GaoPing Zhang

Journal:   Knowledge-Based Systems Year: 2020 Vol: 203 Pages: 106126-106126
JOURNAL ARTICLE

Multi-label feature selection via dual HSIC and sparse regularization

LI BangnaHE XingshiZHU Junwei

Journal:   DOAJ (DOAJ: Directory of Open Access Journals) Year: 2024
JOURNAL ARTICLE

Sparse multi-label feature selection via dynamic graph manifold regularization

Yao ZhangYingcang Ma

Journal:   International Journal of Machine Learning and Cybernetics Year: 2022 Vol: 14 (3)Pages: 1021-1036
JOURNAL ARTICLE

Robust Feature Selection with Feature Correlation via Sparse Multi-Label Learning

Jiangjiang ChengJunmei MeiJing ZhongMin MenPing Zhong

Journal:   Pattern Recognition and Image Analysis Year: 2020 Vol: 30 (1)Pages: 52-62
JOURNAL ARTICLE

Random Manifold Sampling and Joint Sparse Regularization for Multi-Label Feature Selection

Haibao LiHongzhi Zhai

Journal:   Big Data Research Year: 2023 Vol: 32 Pages: 100383-100383
© 2026 ScienceGate Book Chapters — All rights reserved.