Reference : Exploiting Socially-Generated Side Information in Dimensionality Reduction
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/154302
Exploiting Socially-Generated Side Information in Dimensionality Reduction
English
Marcos Alvarez, Alejandro mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Yamada, Makoto [Yahoo! Inc. > Yahoo! Labs > Search Science & Anti-Abuse Team > >]
Kimura, Akisato [NTT Corporation > Media Information Laboratory > Media Recognition Research Group > >]
Oct-2013
Proceedings of the 2nd International Workshop on Socially-Aware Multimedia
ACM
Yes
International
New York
USA
2nd International Workshop on Socially-Aware Multimedia (SAM2013)
21-10-2013
ACM
Barcelona
Spain
[en] dimensionality reduction ; side information ; social media
[en] In this paper, we show how side information extracted from socially-curated data can be used within a dimensionality reduction method and to what extent this side information is beneficial to several tasks such as image classification, data visualization and image retrieval. The key idea is to incorporate side information of an image into a dimensionality reduction method. More specifically, we propose a dimensionality reduction method that can find an embedding transformation so that images with similar side information are close in the embedding space. We introduce three types of side information derived from user behavior. Through experiments on images from Pinterest, we show that incorporating socially-generated side information in a dimensionality reduction method benefits several image-related tasks such as image classification, data visualization and image retrieval.
http://hdl.handle.net/2268/154302

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