Heterogeneous Transfer Learning for Image Classification

Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011

Volumn , Issue , 2011, Pages 1304-1309

  Zhu, Yin ^a   Chen, Yuqiang ^b   Lu, Zhongqi ^a   Pan, Sinno Jialin ^c   Xue, Gui Rong ^b   Yu, Yong ^b   Yang, Qiang ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; MATRIX FACTORIZATION; SEMANTICS; TEXT PROCESSING;

AUXILIARY SOURCE; IMAGES CLASSIFICATION; LEARN+; LEARNING PARADIGMS; MACHINE-LEARNING; PREDICTIVE MODELS; SOURCE DATA; TARGET DOMAIN; TRAINING DATA; TRANSFER LEARNING;

IMAGE CLASSIFICATION;

EID: 85093314939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, and Cedric Bray. Visual categorization with bags of keypoints. In In Workshop on Statistical Learning in Computer Vision, ECCV, pages 1-22, 2004.
2. Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated learning: Transfer learning across different feature spaces. In NIPS, pages 353-360, 2008.
3. Hal Daumé. Frustratingly easy domain adaptation. In ACL, 2007.
4. Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41:391-407, 1990.
5. Gregory Griffin, Alex Holub, and Pietro Perona. Caltech-256 object category dataset. Technical report, Technical Report, California Institute of Technology., 2007.
6. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
7. Lilyana Mihalkova, Tuyen N. Huynh, and Raymond J. Mooney. Mapping and revising markov logic networks for transfer learning. In AAAI, pages 608-614, 2007.
8. Sinno Jialin Pan and Qiang Yang. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10):1345-1359, October 2010.
9. Ariadna Quattoni, Michael Collins, and Trevor Darrell. Transfer learning for image classification with sparse prototype representations. In CVPR, 2008.
10. Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y. Ng. Self-taught learning: transfer learning from unlabeled data. In ICML, pages 759-766, 2007.
11. Jonathan Shewchuk. An introduction to the conjugate gradient method without the agonizing pain. Technical report, 1994.
12. Ajit Paul Singh and Geoffrey J. Gordon. Relational learning via collective matrix factorization. In KDD, pages 650-658, 2008.
13. Gang Wang, Derek Hoiem, and David A. Forsyth. Building text features for object image classification. In CVPR, pages 1367-1374, 2009.
14. Pengcheng Wu and Thomas G. Dietterich. Improving svm accuracy by training on auxiliary data sources. In ICML, 2004.
15. Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, and Nenghai Yu. Distance metric learning from uncertain side information for automated photo tagging. ACM TIST, 2(2):13, 2011.
16. Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, and Yong Yu. Heterogeneous transfer learning for image clustering via the social web. In ACL, 2009.
17. Zhi-Hua Zhou and Hong-Bin Dai. Exploiting image contents in web search. In IJCAI, pages 2922-2927, 2007.
18. Xiaojin Zhu. Semi-supervised learning literature survey. Technical report, University of Wisconsin Madison, 2009.