Extended sparse nonnegative matrix factorization

被引：0
|
作者：
Stadlthanner, K [1 ]
Theis, FJ
Puntonet, CG
Lang, EW
机构：
[1] Univ Regensburg, Inst Biophys, D-93040 Regensburg, Germany
[2] Univ Granada, Dept Arq & Tec Comp, E-18071 Granada, Spain
来源：
COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS | 2005年 / 3512卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In sparse nonnegative component analysis (sparse NMF) a given dataset is decomposed into a mixing matrix and a feature data set, which are both nonnegative and fulfill certain sparsity constraints. In this paper, we extend the sparse NMF algorithm to allow for varying sparsity in each feature and discuss the uniqueness of an involved projection step. Furthermore, the eligibility of the extended sparse NMF algorithm for blind source separation is investigated.
引用
收藏
页码：249 / 256
页数：8
相关论文
共 50 条
  • [1] DISCRIMINANT SPARSE NONNEGATIVE MATRIX FACTORIZATION
    Zhi, Ruicong
    Ruan, Qiuqi
    [J]. ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 570 - 573
  • [2] Binary Sparse Nonnegative Matrix Factorization
    Yuan, Yuan
    Li, Xuelong
    Pang, Yanwei
    Lu, Xin
    Tao, Dacheng
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2009, 19 (05) : 772 - 777
  • [3] Sparse Deep Nonnegative Matrix Factorization
    Guo, Zhenxing
    Zhang, Shihua
    [J]. BIG DATA MINING AND ANALYTICS, 2020, 3 (01): : 13 - 28
  • [4] Sparse Separable Nonnegative Matrix Factorization
    Nadisic, Nicolas
    Vandaele, Arnaud
    Cohen, Jeremy E.
    Gillis, Nicolas
    [J]. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT I, 2021, 12457 : 335 - 350
  • [5] Sparse Deep Nonnegative Matrix Factorization
    Zhenxing Guo
    Shihua Zhang
    [J]. Big Data Mining and Analytics, 2020, 3 (01) : 13 - 28
  • [6] Sparse Nonnegative Matrix Factorization with the Elastic Net
    Liu, Weixiang
    Zheng, Songfeng
    Jia, Sen
    Shen, Linlin
    Fu, Xianghua
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2010, : 265 - 268
  • [7] The sparse factorization of nonnegative matrix in distributed network
    Xinhong Meng
    Fusheng Xu
    Hailiang Ye
    Feilong Cao
    [J]. Advances in Computational Intelligence, 2021, 1 (5):
  • [8] Using underapproximations for sparse nonnegative matrix factorization
    Gillis, Nicolas
    Glineur, Francois
    [J]. PATTERN RECOGNITION, 2010, 43 (04) : 1676 - 1687
  • [9] Document clustering based on nonnegative sparse matrix factorization
    Yang, CF
    Ye, M
    Zhao, J
    [J]. ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 2005, 3611 : 557 - 563
  • [10] Sparse Nonnegative Matrix Factorization Strategy for Cochlear Implants
    Hu, Hongmei
    Lutman, Mark E.
    Ewert, Stephan D.
    Li, Guoping
    Bleeck, Stefan
    [J]. TRENDS IN HEARING, 2015, 19 : 1 - 16
12345