Socially-enriched multimedia data co-clustering
Heterogeneous data co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the represe...
Saved in:
Main Author: | TAN, Ah-hwee |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6053 https://ink.library.smu.edu.sg/context/sis_research/article/7056/viewcontent/Socially_enriched_multimedia_2019_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Adaptive resonance theory in social media data clustering: Roles, methodologies, and applications
by: MENG, Lei, et al.
Published: (2019) -
Semi-supervised heterogeneous fusion for multimedia data co-clustering
by: MENG, Lei, et al.
Published: (2013) -
Adaptive scaling of cluster boundaries for large-scale social media data clustering
by: MENG, Lei, et al.
Published: (2015) -
WSM '10: Proceedings of the 2nd ACM SIGMM Workshop on Social Media, co-located with ACM Multimedia: Firenze, Italy, October 25-29
by: BOLL, Susanne, et al.
Published: (2010) -
Vigilance adaptation in adaptive resonance theory
by: MENG, Lei, et al.
Published: (2013)