Boosted multifeature learning for cross-domain transfer

ACM Transactions on Multimedia Computing, Communications and Applications

Volumn 11, Issue 3, 2015, Pages

  Yang, Xiaoshan ^a,b   Zhang, Tianzhu ^a,b   Xu, Changsheng ^a,b   Yang, Ming Hsuan ^c  

^a INSTITUTE OF AUTOMATION   (China)

^b China Singapore Institute of Digital Media   (Singapore)

^c University of California   (United States)

Author keywords

Boosting; Denoising auto encoder; Domain adaptation; Multifeature

Indexed keywords

ALGORITHMS; IMAGE CLASSIFICATION;

AUTO ENCODERS; BOOSTING; CLASSIFICATION ERRORS; DOMAIN ADAPTATION; FEATURE REPRESENTATION; MULTI FEATURES; MULTIPLE REPRESENTATION; SENTIMENT CLASSIFICATION;

ITERATIVE METHODS;

EID: 84923341321     PISSN: 15516857     EISSN: 15516865     Source Type: Journal    
DOI: 10.1145/2700286     Document Type: Article

References (66)

1. Samir Al-Stouhi and Chandan K. Reddy. 2011. Adaptive boosting for transfer learning using dynamic updates. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 60-75.
2. Bing-Kun Bao,Weiqing Min, Ke Lu, and Changsheng Xu. 2013. Social event detection with robust highorder co-clustering. In Proceedings of the 3rd ACM Conference on International Conference on Multimedia Retrieval (ICMR'13). ACM, New York, 135-142.
3. Shai Ben-David, John Blitzer, Koby Crammer, and Fernando Pereira. 2006. Analysis of representations for domain adaptation. In Proceedings of the Annual Conference on Neural Information Processing Systems. 137-144.
4. Shai Ben-David, Tyler Lu, Teresa Luu, and Dávid Pál. 2010. Impossibility theorems for domain adaptation. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics. 129-136.
5. Yoshua Bengio. 2009. Learning deep architectures for AI. Found. Trends Machine Learn. 2, 1, 1-127.
6. Alessandro Bergamo and Lorenzo Torresani. 2010. Exploiting weakly-labeled Web images to improve object classification: A domain adaptation approach. In Proceedings of the Annual Conference on Neural Information Processing Systems. 181-189.
7. John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, Bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the Annual Conference on Neural Information Processing Systems.
8. John Blitzer, Sham Kakade, and Dean P. Foster. 2011. Domain adaptation with coupled subspaces. J. Machine Learn. Rese. 15, 173-181.
9. John Blitzer, Ryan T. McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In Proceedings of the Conference on EmpiricalMethods in Natural Language Processing. 120-128.
10. Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, and Alexander J. Smola. 2006. Integrating structured biological data by kernel maximum mean discrepancy. In Proceedings of the International Conference on Intelligent Systems forMolecular Biology. 49-57.
11. Markus Brenner and Ebroul Izquierdo. 2012. Social event detection and retrieval in collaborative photo collections. In Proceedings of the 2nd ACMInternational Conference on Multimedia Retrieval (ICMR'12). ACM, New York, 21:1-21:8.
12. Lorenzo Bruzzone and Mattia Marconcini. 2010. Domain Adaptation Problems: A DASVM classification technique and a circular validation strategy. IEEE Trans. Pattern Anal. Mach. Intell. 32, 5, 770-787.
13. Minmin Chen, Kilian Q.Weinberger, and Yixin Chen. 2011. Automatic feature decomposition for single view co-Training. In Proceedings of the International Conference on Machine Learning. 953-960.
14. Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, and Fei Sha. 2012. Marginalized denoising autoencoders for domain adaptation. In Proceedings of the International Conference on Machine Learning.
15. Wenyuan Dai, Qiang Yang, Gui-Rong Xue, and Yong Yu. 2007. Boosting for transfer learning. In Proceedings of the 30th International Conference on Machine Learning. 193-200.
16. Hal Daumé III. 2007. Frustratingly Easy Domain Adaptation. In Proceedings of the Annual Conference on Neural Information Processing Systems.
17. Lixin Duan, Ivor W. Tsang, Dong Xu, and Tat-Seng Chua. 2009a. Domain adaptation from multiple sources via auxiliary classifiers. In Proceedings of the International Conference on Machine Learning. 37.
18. LixinDuan, IvorWai-Hung Tsang, Dong Xu, and Stephen J.Maybank. 2009b.Domain Transfer SVMfor video concept detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1375-1381.
19. Lixin Duan, Dong Xu, IvorWai-Hung Tsang, and Jiebo Luo. 2010. Visual event recognition in videos by learning from web data. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1959-1966.
20. Wolfgang Effelsberg. 2013. A personal look back at twenty years of research in multimedia content analysis. ACM Trans. Multimedia Comput. Commun. Appl. 9, 43:1-43:4.
21. Yoav Freund and Robert E. Schapire. 1996. Experiments with a new boosting algorithm. In Proceedings of the International Conference on Machine Learning. 148-156.
22. Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Domain adaptation for large-scale sentiment classification: A deep learning approach. In Proceedings of the International Conference on Machine Learning. 513-520.
23. Boqing Gong, Kristen Grauman, and Fei Sha. 2013. Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation. In Proceedings of the International Conference on Machine Learning. 222-230.
24. Boqing Gong, Yuan Shi, Fei Sha, and Kristen Grauman. 2012. Geodesic flow kernel for unsupervised domain adaptation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2066-2073.
25. Raghuraman Gopalan, Ruonan Li, and Rama Chellappa. 2011. Domain adaptation for object recognition: An unsupervised approach. In Proceedings of the IEEE International Conference on Computer Vision. 999-1006.
26. Gregory Griffin, Alex Holub, and Pietro Perona. 2007. Caltech-256 object category dataset. Tech. Rep. 7694, California Institute of Technology.
27. Amaury Habrard, Jean-Philippe Peyrache, and Marc Sebban. 2013. Boosting for Unsupervised Domain Adaptation. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 433-448.
28. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, KarstenM. Borgwardt, and Bernhard Schölkopf. 2006. Correcting sample selection bias by unlabeled data. In Proceedings of the Annual Conference on Neural Information Processing Systems. 601-608.
29. I.-H. Jhuo, D. Liu, D. T. Lee, and S.-F. Chang. 2012. Robust visual domain adaptation with low-rank reconstruction. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2168-2175.
30. Xin Jin, Andrew C. Gallagher, Liangliang Cao, Jiebo Luo, and Jiawei Han. 2010. The wisdom of social multimedia: Using flickr for prediction and forecast. In Proceedings of the ACM International Conference on Multimedia (MM'10). 1235-1244.
31. B. Kulis, K. Saenko, and T. Darrell. 2011. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1785-1792.
32. Kevin Lai and Dieter Fox. 2010. Object recognition in 3D point clouds using web data and domain adaptation. Int. J. Rob. Res. 29, 8, 1019-1037.
33. S. Liu, Z. Song, G. Liu, C. Xu, H. Lu, and S. Yan. 2012. Street-To-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
34. Xueliang Liu and Benoit Huet. 2013. Heterogeneous features and model selection for event-based media classification. In Proceedings of the 3rd ACM Conference on International Conference on Multimedia Retrieval (ICMR'13). ACM, New York, 151-158.
35. Wenting Lu, Jingxuan Li, Tao Li, Weidong Guo, Honggang Zhang, and Jun Guo. 2013. Web multimedia object classification using cross-domain correlation knowledge. IEEE Trans. Multimedia 15, 8.
36. Ge Ma and Jiebo Luo. 2013. Is a picture worth 1000 votes? Analyzing the sentiment of election related social photos. In Proceedings of the IEEE International Conference on Multimedia and Expo. 1-6.
37. Zhigang Ma, Yi Yang, Yang Cai, Nicu Sebe, and Alexander G. Hauptmann. 2012. Knowledge adaptation for ad hoc multimedia event detection with few exemplars. In Proceedings of the ACM International Conference on Multimedia (MM'12). 469-478.
38. Mor Naaman. 2012. Social multimedia: Highlighting opportunities for search and mining of multimedia data in social media applications. Multimedia Tools Appl. 56, 1, 9-34.
39. Jie Ni, Qiang Qiu, and Rama Chellappa. 2013. Subspace interpolation via dictionary learning for unsupervised domain adaptation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 692-699.
40. Salvatore Orlando, Francesco Pizzolon, and Gabriele Tolomei. 2013. SEED: A framework for extracting social events from press news. In Proceedings of the 22nd International Conference on World Wide Web Companion (WWW'13 Companion). International World Wide Web Conferences Steering Committee, 1285-1294.
41. Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. 2009. Domain adaptation via transfer component analysis. In Proceedings of the 21st International Joint Conference on Artificial Intelligence. 1187-1192.
42. Sinno Jialin Pan and Qiang Yang. 2010. A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22, 10, 1345-1359.
43. Georgios Petkos, Symeon Papadopoulos, and Yiannis Kompatsiaris. 2012. Social event detection using multimodal clustering and integrating supervisory signals. In Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (ICMR'12). ACM, New York, 23:1-23:8.
44. Guojun Qi, Charu C. Aggarwal, and Thomas S. Huang. 2011. Towards semantic knowledge propagation from text corpus to web images. In Proceedings of the International World Wide Web Conference (WWW'11). 297-306.
45. Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, and Thomas S. Huang. 2012. Exploring context and content links in social media: A latent space method. IEEE Trans. Pattern Anal. Mach. Intell. 34, 5, 850-862.
46. Shengsheng Qian, Tianzhu Zhang, and Changsheng Xu. 2014a. Boosted multi-modal supervised latent Dirichlet allocation for social event classification. In Proceedings of the 22nd International Conference on Pattern Recognition.
47. Shengsheng Qian, Tianzhu Zhang, and Changsheng Xu. 2014b. Social event classification via boosted multimodal supervised latent Dirichlet allocation. ACM Trans. Multimedia Comput. Commun. Appl.
48. M. Sugiyama, A. Schwaighofer, N. D. Lawrence, and J. Candela Quiñonero, 2009. Covariate shift by kernel mean matching. In Dataset Shift in Machine Learning, MIT Press, 131-160.
49. Timo Reuter and Philipp Cimiano. 2012. Event-based classification of socialmedia streams. In Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (ICMR'12). ACM, New York, 22:1-22:8.
50. Suman Deb Roy, Tao Mei, Wenjun Zeng, and Shipeng Li. 2012. SocialTransfer: Cross-domain transfer learning from social streams for media applications. In Proceedings of the ACM International Conference on Multimedia (MM'12). 649-658.
51. Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell. 2010. Adapting visual category models to new domains. In Proceedings of the European Conference on Computer Vision. 213-226.
52. Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Mark Geusebroek, and Arnold W. M. Smeulders. 2006. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proceedings of the ACM International Conference on Multimedia. 421-430.
53. Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, and Ping Li. 2011. User-level sentiment analysis incorporating social networks. In Proceedings of the 17th International Conference on Knowledge Discovery and Data Mining. 1397-1405.
54. Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008. Extracting and composing robust features with denoising autoencoders. In Proceedings of the International Conference on Machine Learning. 1096-1103.
55. Chang Wang and Sridhar Mahadevan. 2009. Manifold alignment without correspondence. In Proceedings of the International Joint Conference on Artificial Intelligence. 1273-1278.
56. YanxiangWang, Hari Sundaram, and Lexing Xie. 2012. Social event detection with interaction graph modeling. In Proceedings of the 20th ACM International Conference on Multimedia (MM'12). ACM, New York, 865-868.
57. XuLei Yang, Qing Song, and Yue Wang. 2007. A weighted support vector machine for data classification. Int. J. Pattern Recognit Artif Intell. 21, 5, 961-976.
58. Xiaoshan Yang, Tianzhu Zhang, and Changsheng Xu. 2014. Cross domain feature learning in social multimedia. IEEE Trans. Multimedia.
59. Yi Yang, Zhigang Ma, Alexander G. Hauptmann, and Nicu Sebe. 2013. Feature selection for multimedia analysis by sharing information among multiple tasks. IEEE Trans. Multimedia 15, 3, 661-669.
60. Yi Yao and Gianfranco Doretto. 2010. Boosting for transfer learning with multiple sources. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1855-1862.
61. Maia Zaharieva, Matthias Zeppelzauer, and Christian Breiteneder. 2013. Automated social event detection in large photo collections. In Proceedings of the 3rd ACM Conference on International Conference on Multimedia Retrieval (ICMR'13). ACM, New York, 167-174.
62. Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, and Narendra Ahuja. 2013. Low-rank sparse coding for image classification. In Proceedings of the International Conference on Computer Vision.
63. Tianzhu Zhang, Jing Liu, Si Liu, Yi Ouyang, and Hanqing Lu. 2009. Boosted exemplar learning for human action recognition. In Proceedings of the IEEE 12th International Conference on Computer Vision Workshops.
64. Tianzhu Zhang, Jing Liu, Si Liu, Changsheng Xu, and Hanqing Lu. 2011. Boosted exemplar learning for action recognition and annotation. IEEE Trans. Circuits Syst. Video Technol. 21, 7, 853-866.
65. Tianzhu Zhang and Changsheng Xu. 2014. Cross-domain multi-event tracking via CO-PMHT. ACM Trans. Multimedia Comput. Commun. Appl. 10, 4, 31.
66. Ji Zhu, Hui Zou, Saharon Rosset, and Trevor Hastie. 2009. Multi-class AdaBoost. Statistics and Its Interface 2, 3.