A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

2 Scopus Citations
View graph of relations

Detail(s)

Original languageEnglish
Title of host publicationNeural Information Processing
Subtitle of host publicationProceedings, Part II
EditorsLong Cheng, Andrew Chi Sing Leung, Seiichi Ozawa
PublisherSpringer Nature Switzerland AG
Pages453-462
ISBN (Electronic)9783030041793
ISBN (Print)9783030041786
Publication statusPublished - Dec 2018

Publication series

NameLecture Notes in Computer Science
VolumeLNCS 11302
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title25th International Conference on Neural Information Processing (ICONIP 2018)
LocationSokha Siem Reap Resort & Convention Center
PlaceCambodia
CitySiem Reap
Period13 - 16 December 2018

Abstract

This paper presents a collaborative neurodynamic approach to symmetric nonnegative matrix factorization (SNMF). First, a formulated nonconvex optimization problem of SNMF is described. To solve this problem, a neurodynamic model based on an augmented Lagrangian function is proposed and proven to be convergent to a strict local optimal solution under the second-order sufficiency condition. Next, a group of neurodynamic models are employed to search for an optimal factorized matrix by using particle swarm algorithm to update the initial neuronal states. The efficacy of the proposed approach is substantiated on two datasets.

Research Area(s)

  • Augmented Lagrangian function, Collaborative neurodynamic approach, Symmetric nonnegative matrix factorization

Citation Format(s)

A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. / Che, Hangjun; Wang, Jun.

Neural Information Processing: Proceedings, Part II. ed. / Long Cheng; Andrew Chi Sing Leung; Seiichi Ozawa. Springer Nature Switzerland AG, 2018. p. 453-462 (Lecture Notes in Computer Science; Vol. LNCS 11302 ).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review