BOOK-CHAPTER

Sparse Optimization Based on Non-convex $$\ell _{1/2}$$ Regularization for Deep Neural Networks

Anda TangRongrong MaJianyu MiaoLingfeng Niu

Year: 2020 Communications in computer and information science Pages: 158-166   Publisher: Springer Science+Business Media
Keywords:
Deep neural networks Regularization (linguistics) Computer science Artificial neural network Generalizability theory Minification Regular polygon Algorithm Mathematical optimization Artificial intelligence Convex optimization Mathematics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
37
Refs
0.03
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Learning Sparse Neural Networks Using Non-Convex Regularization

Mohammad Khalid PanditRoohie NaazMohammad Ahsan Chishti

Journal:   IEEE Transactions on Emerging Topics in Computational Intelligence Year: 2021 Vol: 6 (2)Pages: 287-299
JOURNAL ARTICLE

Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization

Po-Yu ChenIvan Selesnick

Journal:   IEEE Transactions on Signal Processing Year: 2014 Vol: 62 (13)Pages: 3464-3478
JOURNAL ARTICLE

Artifact-Free Wavelet Denoising: Non-convex Sparse Regularization, Convex Optimization

Yin DingIvan Selesnick

Journal:   IEEE Signal Processing Letters Year: 2015 Vol: 22 (9)Pages: 1364-1368
JOURNAL ARTICLE

Group sparse regularization for deep neural networks

Simone ScardapaneDanilo ComminielloAmir HussainAurelio Uncini

Journal:   Neurocomputing Year: 2017 Vol: 241 Pages: 81-89
© 2026 ScienceGate Book Chapters — All rights reserved.