Complexity 2020:1-13 (2020)

Xiao-Bo Dong
University of Science and Technology of China
Most cross-modal retrieval methods based on subspace learning just focus on learning the projection matrices that map different modalities to a common subspace and pay less attention to the retrieval task specificity and class information. To address the two limitations and make full use of unlabelled data, we propose a novel semi-supervised method for cross-modal retrieval named modal-related retrieval based on discriminative comapping. The projection matrices are obtained to map multimodal data into a common subspace for different tasks. In the process of projection matrix learning, a linear discriminant constraint is introduced to preserve the original class information in different modal spaces. An iterative optimization algorithm based on label propagation is presented to solve the proposed joint learning formulations. The experimental results on several datasets demonstrate the superiority of our method compared with state-of-the-art subspace methods.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
DOI 10.1155/2020/1462429
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 52,855
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Human Semi-Supervised Learning.Bryan R. Gibson, Timothy T. Rogers & Xiaojin Zhu - 2013 - Topics in Cognitive Science 5 (1):132-172.
XV—Cross‐Modal Experiences.Fiona Macpherson - 2011 - Proceedings of the Aristotelian Society 111 (3pt3):429-468.
The Structuring of Legal Knowledge in Lois.Wim Peters, Maria-Teresa Sagri & Daniela Tiscornia - 2007 - Artificial Intelligence and Law 15 (2):117-135.


Added to PP index

Total views
3 ( #1,255,485 of 2,342,678 )

Recent downloads (6 months)
3 ( #240,201 of 2,342,678 )

How can I increase my downloads?


My notes