A unified learning framework for auto face annotation by mining web facial images
Auto face annotation plays an important role in many real-world multimedia information and knowledge management systems. Recently there is a surge of research interests in mining weakly-labeled facial images on the internet to tackle this long-standing research challenge in computer vision and image...
Saved in:
Main Authors: | WANG, Dayong, HOI, Steven C. H., HE, Ying |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2012
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2345 https://ink.library.smu.edu.sg/context/sis_research/article/3345/viewcontent/p1392_wang.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Mining weakly labeled web facial images for search-based face annotation
by: WANG, Dayong, et al.
Published: (2014) -
Mining weakly labeled web facial images for search-based face annotation
by: WANG, Dayang, et al.
Published: (2011) -
Retrieval-based face annotation by weak label regularized local coordinate coding
by: WANG, Dayong, et al.
Published: (2011) -
FANS: Face annotation by searching large-scale web facial images
by: HOI, Steven, et al.
Published: (2013) -
Learning to name faces: A multimodal learning scheme for search-based face annotation
by: WANG, Dayong, et al.
Published: (2013)