Online multi-modal distance metric learning with application to image retrieval
Distance metric learning (DML) is an important technique to improve similarity search in content-based image retrieval. Despite being studied extensively, most existing DML approaches typically adopt a single-modal learning framework that learns the distance metric on either a single feature type or...
Saved in:
Main Authors: | WU, Pengcheng, HOI, Steven C. H., ZHAO, Peilin, MIAO, Chunyan, LIU, Zhi-Yong |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2924 https://ink.library.smu.edu.sg/context/sis_research/article/3924/viewcontent/OMDML_TKDE_afv.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Online multi-modal distance metric learning with application to image retrieval
by: WU, Pengcheng, et al.
Published: (2014) -
Online multimodal distance metric learning with application to image retrieval
by: WU, Pengcheng, et al.
Published: (2013) -
Semi-supervised distance metric learning for collaborative image retrieval and clustering
by: HOI, Steven C. H., et al.
Published: (2010) -
Online multi-modal distance learning for scalable multimedia retrieval
by: XIA, Hao, et al.
Published: (2013) -
A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
by: LIU, Yang, et al.
Published: (2010)