Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization
To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<...
Saved in:
| Main Authors: | Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-05-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020064/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation
by: Songtao Li, et al.
Published: (2022-01-01) -
Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis
by: Yuhao Zhang, et al.
Published: (2025-03-01) -
A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization
by: M. Rezghi, et al.
Published: (2015-09-01) -
Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model
by: YANG Dao, et al.
Published: (2016-06-01) -
Robust self supervised symmetric nonnegative matrix factorization to the graph clustering
by: Yi Ru, et al.
Published: (2025-03-01)