File(s) under permanent embargo
Adaptive method for nonsmooth nonnegative matrix factorization
journal contribution
posted on 2017-04-01, 00:00 authored by Zuyuan Yang, Yong XiangYong Xiang, K Xie, Y LaiNonnegative matrix factorization (NMF) is an emerging tool for meaningful low-rank matrix representation. In NMF, explicit constraints are usually required, such that NMF generates desired products (or factorizations), especially when the products have significant sparseness features. It is known that the ability of NMF in learning sparse representation can be improved by embedding a smoothness factor between the products. Motivated by this result, we propose an adaptive nonsmooth NMF (Ans-NMF) method in this paper. In our method, the embedded factor is obtained by using a data-related approach, so it matches well with the underlying products, implying a superior faithfulness of the representations. Besides, due to the usage of an adaptive selection scheme to this factor, the sparseness of the products can be separately constrained, leading to wider applicability and interpretability. Furthermore, since the adaptive selection scheme is processed through solving a series of typical linear programming problems, it can be easily implemented. Simulations using computer-generated data and real-world data show the advantages of the proposed Ans-NMF method over the state-of-the-art methods.
History
Journal
IEEE transactions on neural networks and learning systemsVolume
28Issue
4Pagination
948 - 960Publisher
IEEELocation
Piscataway, N.J.Publisher DOI
ISSN
2162-237XeISSN
2162-2388Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2016, IEEEUsage metrics
Categories
Keywords
linear programming (LP)nonnegative matrix factorization (NMF)smoothness constraintsparse representationScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringALGORITHMSSEPARATIONInformation SystemsArtificial Intelligence and Image Processing
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC