|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM251697053 |
| 003 |
DE-627 |
| 005 |
20231224162549.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231224s2015 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2015.2466106
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0839.xml
|
| 035 |
|
|
|a (DE-627)NLM251697053
|
| 035 |
|
|
|a (NLM)26259218
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a He, Ran
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Cross-Modal Subspace Learning via Pairwise Constraints
|
| 264 |
|
1 |
|c 2015
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 03.02.2016
|
| 500 |
|
|
|a Date Revised 27.01.2016
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a In multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cross-modal learning via the pairwise constraint and aims to find the common structure hidden in different modalities. We first propose a compound regularization framework to address the pairwise constraint, which can be used as a general platform for developing cross-modal algorithms. For unsupervised learning, we propose a multi-modal subspace clustering method to learn a common structure for different modalities. For supervised learning, to reduce the semantic gap and the outliers in pairwise constraints, we propose a cross-modal matching method based on compound ℓ21 regularization. Extensive experiments demonstrate the benefits of joint text and image modeling with semantically induced pairwise constraints, and they show that the proposed cross-modal methods can further reduce the semantic gap between different modalities and improve the clustering/matching accuracy
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 700 |
1 |
|
|a Zhang, Man
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wang, Liang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ji, Ye
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Yin, Qiyue
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 24(2015), 12 vom: 26. Dez., Seite 5543-56
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:24
|g year:2015
|g number:12
|g day:26
|g month:12
|g pages:5543-56
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2015.2466106
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 24
|j 2015
|e 12
|b 26
|c 12
|h 5543-56
|