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.
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Official URL: http://www.sciencedirect.com/science/journal/09252312
Abstract
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/ | ||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||
Title: | Discriminative Nonnegative Matrix Factorization for Dimensionality Reduction | ||||||||||||||||||||||||
Authors: |
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Date: | 2015 | ||||||||||||||||||||||||
Journal or Publication Title: | Neurocomputing | ||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||
Volume: | 173 | ||||||||||||||||||||||||
DOI: | 10.1016/j.neucom.2014.12.124 | ||||||||||||||||||||||||
Page Range: | pp. 212-223 | ||||||||||||||||||||||||
Editors: |
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Publisher: | Elsevier | ||||||||||||||||||||||||
ISSN: | 0925-2312 | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
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 |
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