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Dimensionality Reduction using Relative Attributes

Babaee, Mohammadreza and Tsoukalas, Stefanos and Babaee, Maryam and Rigoll, Gerald and Datcu, Mihai (2014) Dimensionality Reduction using Relative Attributes. European Conference on Computer Vision (ECCV) 2014, 06-12 Sep 2014, Zurich, Switzerland.

Full text not available from this repository.

Official URL: https://filebox.ece.vt.edu/~parikh/PnA2014/posters/Posters/BabaeePnA2014.pdf

Abstract

Visual attributes are high-level semantic description of visual data that are close to the language of human. They have been intensively used in various applications such as image classification, active learning, and interactive search. However, the usage of attributes in dimensionality reduction has not been considered yet. In this work, we propose to utilize relative attributes as semantic cues in dimensionality reduction. To this end, we employ Non-negative Matrix Factorization (NMF) constrained by embedded relative attributes to come up with a new algorithm for dimensionality reduction, namely attribute regularized NMF (ANMF).

Item URL in elib:https://elib.dlr.de/100443/
Document Type:Conference or Workshop Item (Poster)
Additional Information:Third International Workshop on Parts and Attributes
Title:Dimensionality Reduction using Relative Attributes
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, MohammadrezaTechnical University Munich, GermanyUNSPECIFIED
Tsoukalas, StefanosTechnical University Munich, GermanyUNSPECIFIED
Babaee, MaryamUniversity of IsfahanUNSPECIFIED
Rigoll, GeraldTechnical University MunichUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2014
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-5
Status:Published
Keywords:Satellite images, attributes, dimensionality reduction
Event Title:European Conference on Computer Vision (ECCV) 2014
Event Location:Zurich, Switzerland
Event Type:international Conference
Event Dates:06-12 Sep 2014
Organizer:ETH Zurich
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:04 Dec 2015 13:08
Last Modified:10 May 2016 23:37

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