Non-parametric Kernel Ranking Approach for Social Image Retrieval
Social image retrieval has become an emerging research challenge in web rich media search. In this paper, we address the research problem of text-based social image retrieval, which aims to identify and return a set of relevant social images that are related to a text-based query from a corpus of so...
Saved in:
Main Authors: | ZHUANG, Jinfeng, HOI, Steven C. H. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2010
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2364 https://ink.library.smu.edu.sg/context/sis_research/article/3364/viewcontent/p26_zhuang.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
A Family of Simple Non-Parametric Kernel Learning Algorithms from Pairwise Constraints
by: ZHUANG, Jinfeng, et al.
Published: (2011) -
A Two-View Learning Approach for Image Tag Ranking
by: ZHUANG, Jinfeng, et al.
Published: (2011) -
Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval
by: HOI, Steven C. H., et al.
Published: (2009) -
Modeling Social Strength in Social Media Community via Kernel-based Learning
by: ZHUANG, Jinfeng, et al.
Published: (2011) -
Kernel-Based skyline cardinality estimation
by: Zhang, Z., et al.
Published: (2013)