GitHub - nudles/vldbj-code: code for "Effective Deep Learning Based Multi-Modal Retrieval" · GitHub

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vldbj-code

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code for "Effective Deep Learning Based Multi-Modal Retrieval"

link.springer.com/article/10.1007/s00778-015-0391-4?wt_mc=email.event.1.SEM.ArticleAuthorOnlineFirst

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Name		Name	Last commit message	Last commit date
CMakeScripts		CMakeScripts
docs		docs
examples		examples
include/caffe		include/caffe
matlab		matlab
models		models
python		python
scripts		scripts
src		src
tools		tools
.Doxyfile		.Doxyfile
.gitignore		.gitignore
.travis.yml		.travis.yml
CMakeLists.txt		CMakeLists.txt
CONTRIBUTORS.md		CONTRIBUTORS.md
INSTALL.md		INSTALL.md
LICENSE		LICENSE
Makefile		Makefile
Makefile.config.example		Makefile.config.example
README.md		README.md
caffe.cloc		caffe.cloc
log.txt		log.txt
tsne_plot.py		tsne_plot.py

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Code for the paper W. Wang, X. Yang, B. C. Ooi, D. Zhang, and Y. Zhuang. Effective Deep Learning Based Multi-Modal Retrieval.VLDB Journal - Special issue of VLDB’14 best papers, 2015

Refer to the models/nuswide/Readme.md for details.

About

code for "Effective Deep Learning Based Multi-Modal Retrieval"

link.springer.com/article/10.1007/s00778-015-0391-4?wt_mc=email.event.1.SEM.ArticleAuthorOnlineFirst

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