A Collaborative Neurodynamic Approach to Sparse Coding
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Advances in Neural Networks – ISNN 2019 |
| Subtitle of host publication | Proceedings, Part I |
| Editors | Huchuan Lu, Huajin Tang, Zhanshan Wang |
| Publisher | Springer Nature Switzerland AG |
| Pages | 454-462 |
| ISBN (Electronic) | 9783030227968 |
| ISBN (Print) | 9783030227951 |
| Publication status | Published - Jul 2019 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 11554 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Title | 16th International Symposium on Neural Networks (ISNN 2019) |
|---|---|
| Location | Hypercube |
| Place | Russian Federation |
| City | Moscow |
| Period | 10 - 12 July 2019 |
Link(s)
Abstract
In this paper, a collaborative neurodynamic approach is proposed for sparse coding. As the formulated sparse coding optimization problem with l0-norm objective function is NP-hard, it is reformulated as a global optimization problem based on an inverted Gaussian function. A group of neurodynamic optimization models is employed to solve the reformulated problem by gradually decreasing the value of the parameter of the inverted Gaussian function. The experimental results show the superior performance of the proposed approach.
Research Area(s)
- Collaborative neurodynamic optimization, Signal reconstruction, Sparse coding
Citation Format(s)
A Collaborative Neurodynamic Approach to Sparse Coding. / Che, Hangjun; Wang, Jun; Zhang, Wei.
Advances in Neural Networks – ISNN 2019: Proceedings, Part I. ed. / Huchuan Lu; Huajin Tang; Zhanshan Wang. Springer Nature Switzerland AG, 2019. p. 454-462 (Lecture Notes in Computer Science; Vol. 11554).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
