DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Discriminative Nonnegative Matrix Factorization for Dimensionality Reduction

Babaee, Mohammadreza and Tsoukalas, Stefanos and Babaee, Maryam and Rigoll, Gerald and Datcu, Mihai (2015) Discriminative Nonnegative Matrix Factorization for Dimensionality Reduction. Neurocomputing, 173 (Part 2), pp. 212-223. Elsevier. doi: 10.1016/j.neucom.2014.12.124. ISSN 0925-2312.

Full text not available from this repository.

Official URL: http://www.sciencedirect.com/science/journal/09252312


Nonnegative Matrix Factorization (NMF) has been widely used for different purposes such as feature learning, dictionary leaning and dimensionality reduction in data mining and computer vision. In this work, we present a label constrained NMF, namely Discriminative Nonnegative Matrix Factorization (DNMF), which utilizes the label information of a fraction of the data as a discriminative constraint. The labeled samples are used in a regularization term, which is a linear regression based on the samples, coupled with the main objective function of NMF. In contrast to recently proposed semi-supervised NMF techniques, the proposed approach does not merge the samples with the same label into a single point. However, the algorithm enforces the samples with the same label to be aligned on the same axis in the new representation. The performed experiments on synthetic and real datasets expose the strength of our proposed method compared to the state-of-the-art methods.

Item URL in elib:https://elib.dlr.de/100121/
Document Type:Article
Title:Discriminative Nonnegative Matrix Factorization for Dimensionality Reduction
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Babaee, MohammadrezaTechnical University Munich, GermanyUNSPECIFIED
Tsoukalas, StefanosTechnical University Munich, GermanyUNSPECIFIED
Babaee, MaryamUniversity of IsfahanUNSPECIFIED
Rigoll, GeraldTU MunichUNSPECIFIED
Journal or Publication Title:Neurocomputing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 212-223
EditorsEmailEditor's ORCID iD
Tom, Heskest.heskes@science.ru.nlUNSPECIFIED
Keywords:Dimensionality reduction, nonnegative matrix factorization, data mining
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:30 Nov 2015 10:38
Last Modified:06 Sep 2019 15:18

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.