On the pooling of positive examples with ontology for visual concept learning
A common obstacle in effective learning of visual concept classifiers is the scarcity of positive training examples due to expensive labeling cost. This paper explores the sampling of weakly tagged web images for concept learning without human assistance. In particular, ontology knowledge is incorpo...
Saved in:
Main Authors: | ZHU, Shiai, NGO, Chong-wah, JIANG, Yu-Gang |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6520 https://ink.library.smu.edu.sg/context/sis_research/article/7523/viewcontent/2072298.2071934.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Sampling and ontologically pooling web images for visual concept learning
by: ZHU, Shiai, et al.
Published: (2012) -
Event detection with zero example: Select the right and suppress the wrong concepts
by: LU, Yi-Jie, et al.
Published: (2016) -
On the sampling of web images for learning visual concept classifiers
by: ZHU, Shiai, et al.
Published: (2010) -
Selection of concept detectors for video search by ontology-enriched semantic spaces
by: WEI, Xiao-Yong, et al.
Published: (2008) -
Ontology-enriched semantic space for video search
by: WEI, Xiao-Yong, et al.
Published: (2007)