Learning image‐text associations
Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. Whereas most existing work on Web information fusion has focused on text-based multidocument summarization, this paper concerns the topic of image and text ass...
Saved in:
Main Authors: | JIANG, Tao, TAN, Ah-hwee |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5229 https://ink.library.smu.edu.sg/context/sis_research/article/6232/viewcontent/learning_image_text.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Mining generalized associations of semantic relations from textual web content
by: JIANG, Tao, et al.
Published: (2007) -
Multimedia data mining: State of the art and challenges
by: Bhatt, C.A., et al.
Published: (2013) -
Blocking reduction strategies in hierarchical text classification
by: LIM, Ee Peng, et al.
Published: (2004) -
Mining transcriptional association rules from breast cancer profile data
by: Malpani, R., et al.
Published: (2013) -
A support-ordered trie for fast frequent itemset discovery
by: LIM, Ee Peng, et al.
Published: (2004)