Shared feature extraction for semi-supervised image classification

MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Volumn , Issue , 2011, Pages 1165-1168

  Luo, Yong ^a   Tao, Dacheng ^b   Geng, Bo ^a   Xu, Chao ^a   Maybank, Stephen ^c  

^a Peking University   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Image classification; Manifold regularization; Multi task learning; Semi supervised

Indexed keywords

CLASSIFICATION MODELS; COMMON FEATURES; DATA SETS; EUCLIDEAN SPACES; GENERALIZATION PERFORMANCE; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL IMAGES; IMAGE ANNOTATION; IMAGE CLASSIFICATION ALGORITHMS; IMAGE REPRESENTATIONS; MANIFOLD REGULARIZATION; MULTI-CLASS; MULTITASK LEARNING; SEMI-SUPERVISED;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; FEATURE EXTRACTION; IMAGE CLASSIFICATION; LINEARIZATION; PROBABILITY DISTRIBUTIONS;

IMAGE ANALYSIS;

EID: 84455208497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2072298.2071965     Document Type: Conference Paper

References (17)

1. R. K. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. JMLR, 2005.
2. J. Baxter. A model of inductive bias learning. JAIR, 2000.
3. M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. JMLR, 2006.
4. A. Blum and T. Mitchell. Combining labeled and unlabeled data with co-training. In COLT, 1998.
5. R. Caruana. Multitask learning. Machine Learning, 1997.
6. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results.
7. B. Geng, C. Xu, D. Tao, L. Yang, and X. Hua. Ensemble manifold regularization. In CVPR, 2009.
8. B. Geng, L. Yang, C. Xu, and X. Hua. Ranking model adaptation for domain specific search. In CIKM, 2009.
9. B. Geng, L. Yang, C. Xu, and X. Hua. Content-aware ranking for visual search. In CVPR, 2010.
10. M. Guillaumin, J. Verbeek, and C. Schmid. Multimodal semi-supervised learning for image classification. In CVPR, 2010.
11. M. J. Huiskes and M. S. Lew. The mir flickr retrieval evaluation. In MIR, 2008.
12. S. W. Ji, L. Tang, S. P. Yu, and J. P. Ye. Extracting shared subspace for multi-label classification. In KDD, 2008.
13. A. Torralba, K. P. Murphy, and W. T. Freeman. Sharing features: efficient boosting procedures for multiclass object detection. In CVPR, 2004.
14. M. Wang, X.-S. Hua, R. Hong, J. Tang, G.-J. Qi, and Y. Song. Unified video annotation via multi-graph learning. TCSVT, 2009.
15. M. Wang, X.-S. Hua, J. Tang, and R. Hong. Beyond distance measurement: Constructing neighborhood similarity for video annotation. TMM, 2009.
16. Z. Zha, X. Hua, T. Mei, J. Wang, G. Qi, and Z. Wang. Joint multi-label multi-instance learning for image classification. In CVPR, 2008.
17. Z. Zheng-Jun, Y. Linjun, M. Tao, W. Meng, and W. Zengfu. Visual query suggestion. In SIGMM, 2009.