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Authors: Jorge A. Vanegas ; Viviana Beltran and Fabio A. González

Affiliation: Universidad Nacional de Colombia, Colombia

ISBN: 978-989-758-076-5

Keyword(s): Machine Learning, Multi-label Annotation, Semantic Embedding, Online Learning.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Matrix Factorization ; Multi-Instance Learning ; On-Line Learning ; Pattern Recognition ; Stochastic Methods ; Theory and Methods

Abstract: This paper presents a matrix factorization algorithm for multi-label annotation. The multi-label annotation problem arises in situations such as object recognition in images where we want to automatically find the objects present in a given image. The solution consists in learning a classification model able to assign one or many labels to a particular sample. The method presented in this paper learns a mapping between the features of the input sample and the labels, which is later used to predict labels for unannotated instances. The mapping between the feature representation and the labels is found by learning a common semantic representation using matrix factorization. An important characteristic of the proposed algorithm is its online formulation based on stochastic gradient descent which can scale to deal with large datasets. According to the experimental evaluation, which compares the method with state-of-the-art space embedding algorithms, the proposed method presents a competi tive performance improving, in some cases, previously reported results. (More)

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Paper citation in several formats:
Vanegas, J.; Beltran, V. and A. González, F. (2015). Two-way Multimodal Online Matrix Factorization for Multi-label Annotation.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 279-285. DOI: 10.5220/0005209602790285

@conference{icpram15,
author={Jorge A. Vanegas. and Viviana Beltran. and Fabio A. González.},
title={Two-way Multimodal Online Matrix Factorization for Multi-label Annotation},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={279-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005209602790285},
isbn={978-989-758-076-5},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Two-way Multimodal Online Matrix Factorization for Multi-label Annotation
SN - 978-989-758-076-5
AU - Vanegas, J.
AU - Beltran, V.
AU - A. González, F.
PY - 2015
SP - 279
EP - 285
DO - 10.5220/0005209602790285

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