A Collaborative Neurodynamic Approach to Sparse Coding

被引：7
|
作者：
Che, Hangjun [1 ,3 ]
Wang, Jun [1 ,2 ,3 ]
Zhang, Wei [4 ]
机构：
[1] City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Sch Data Sci, Kowloon, Hong Kong, Peoples R China
[3] City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
[4] Chongqing Three Gorges Univ, Key Lab Intelligent Informat Proc & Control Chong, Chongqing 404100, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT I | 2019年 / 11554卷
基金：
中国国家自然科学基金;
关键词：
Sparse coding; Collaborative neurodynamic optimization; Signal reconstruction;
D O I：
10.1007/978-3-030-22796-8_48
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：454 / 462
页数：9
相关论文
共 50 条
  • [1] Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization
    Zhou, Wei
    Zhang, Hai-Tao
    Wang, Jun
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (12) : 13669 - 13683
  • [2] Sparse signal reconstruction via collaborative neurodynamic optimization
    Che, Hangjun
    Wang, Jun
    Cichocki, Andrzej
    [J]. NEURAL NETWORKS, 2022, 154 : 255 - 269
  • [3] A Collaborative Neurodynamic Approach to Multiobjective Optimization
    Leung, Man-Fai
    Wang, Jun
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (11) : 5738 - 5748
  • [4] Sparse Nonnegative Matrix Factorization Based on Collaborative Neurodynamic Optimization
    Che, Hangjun
    Wang, Jun
    [J]. 2019 9TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2019), 2019, : 114 - 121
  • [5] A Collaborative Neurodynamic Approach to Distributed Global Optimization
    Xia, Zicong
    Liu, Yang
    Wang, Jun
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (05): : 3141 - 3151
  • [6] A collaborative neurodynamic approach to global and combinatorial optimization
    Che, Hangjun
    Wang, Jun
    [J]. NEURAL NETWORKS, 2019, 114 : 15 - 27
  • [7] A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection
    Leung, Man-Fai
    Wang, Jun
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT I, 2019, 11554 : 318 - 327
  • [8] A Collaborative Neurodynamic Optimization Approach to Distributed Chiller Loading
    Chen, Zhongying
    Wang, Jun
    Han, Qing-Long
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (08) : 10950 - 10960
  • [9] A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization
    Che, Hangjun
    Wang, Jun
    [J]. NEURAL INFORMATION PROCESSING (ICONIP 2018), PT II, 2018, 11302 : 453 - 462
  • [10] Collaborative Sparse Coding for Multiview Action Recognition
    Wang, Wei
    Yan, Yan
    Zhang, Luming
    Hong, Richang
    Sebe, Nicu
    [J]. IEEE MULTIMEDIA, 2016, 23 (04) : 80 - 87
12345