Multiview Hessian regularized logistic regression for action recognition

Signal Processing

Volumn 110, Issue , 2015, Pages 101-107

  Liu, Weifeng ^a   Liu, Hongli ^a   Tao, Dapeng ^b,c   Wang, Yanjiang ^a   Lu, Ke ^d  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Action recognition; Hessian; Logistic regression; Manifold learning; Multiview learning; Semi supervised learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); GESTURE RECOGNITION; IMAGE CLASSIFICATION; MOTION ESTIMATION; PROBABILITY DISTRIBUTIONS; SUPERVISED LEARNING;

ACTION RECOGNITION; HESSIAN; LOGISTIC REGRESSIONS; MANIFOLD LEARNING; MULTI-VIEW LEARNING; SEMI- SUPERVISED LEARNING;

REGRESSION ANALYSIS;

EID: 85027924183     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2014.08.002     Document Type: Article

References (53)

1. M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization: a geometric framework for learning from labeled and unlabeled examples J. Mach. Learn. Res. 7 2006 2399 2434
2. Sam Roweis, and Lawrence Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 5500 2000 2323 2326
3. J.B. Tenenbaum, V. de Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 5500 2000 2319 2323
4. Z. Zhang, and H. Zha Principal manifolds and nonlinear dimension reduction via local tangent space alignment SIAM J. Sci. Comput. 26 1 2005 313 338
5. Mikhail Belkin, and Partha Niyogi Laplacian eigenmaps for dimensionality reduction and data representation Neural Comput. 15 6 2003 1373 1396
6. D.L. Donoho, and C. Grimes Hessian eigenmaps: new locally linear embedding techniques for high dimensional data Proc. Natl. Acad. Sci. USA 100 10 2003 5591 5596
7. R. Duda, P. Hart, and D. Stork Pattern Classification 2nd ed. 2000 Wiley New York
8. K.I. Kim, F. Steinke, and M. Hein Semi-supervised regression using hessian energy with an application to semi-supervised dimensionality reduction Adv. Neural Inf. Process. Syst. 22 2009 979 987
9. W. Liu, and D. Tao Multiview Hessian regularization for image annotation IEEE Trans. Image Process. 22 2013 2676 2687
10. A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998, pp. 92-100.
11. F.R. Bach, G.R.G. Lanckriet, M.I. Jordan, Multiple kernel learning, conic duality, and the SMO algorithm, in: Proceedings of the Twenty-First International Conference on Machine Learning, 2004, pp. 41-48.
12. M. Gönen, and E. Alpaydm Multiple kernel learning algorithms J. Mach. Learn. Res. 12 2011 2211 2268
13. S. Sonnenburg, G. Rätsch, C. Schäfer, and B. Schölkopf Large scale multiple kernel learning J. Mach. Learn. Res. 7 2006 1531 1565
14. Y.-Y. Lin, T.-L. Liu, and C.-S. Fuh Multiple kernel learning for dimensionality reduction Pattern Anal. Mach. Intell. IEEE Trans. 33 2011 1147 1160
15. T. Zhang, D. Tao, and X. Li Patch alignment for dimensionality reduction Knowl. Data Eng. 2009 1 15
16. B. Geng, D. Tao, C. Xu, L. Yang, and X. Hua Ensemble manifold regularization Pattern Anal. Mach. Intell. IEEE Trans. 34 2012 1227 1233
17. T. Xia, D. Tao, T. Mei, and Y. Zhan Multiview spectral embedding IEEE Trans. Syst. Man Cybern. Part B: Cybern. 40 2010 1438 1446
18. B. Xie, Y. Mu, D. Tao, and K. Huang m-SNE: Multiview stochastic neighbor embedding IEEE Trans. Syst. Man Cybern. Part B: Cybern. 41 2011 1088 1096
19. J. Yu, Y. Rui, and D. Tao Click prediction for web image reranking using multimodal sparse coding IEEE Trans. Image Process. 23 5 2014 2019 2032
20. J. Yu, Y. Rui, Y.Y. Tang, and D. Tao High-order distance based multiview stochastic learning in image classification IEEE Trans. Cybern. 2014 201419 202032 10.1109/TCYB.2014.2307862
21. Chang Xu, Dacheng Tao, and Chao Xu,Large-margin multi-view information bottleneck IEEE Trans. Pattern Anal. Mach. Intell 36 8 2014 1559 1572
22. Xu Chang, Dacheng Tao, and Xu Chao A survey on multi-view learning CoRR abs/1304 5634 2013
23. Y. Fu, T.M. Hospedales, T. Xiang, S. Gong, Attribute Learning for Understanding Unstructured Social Activity-Annotated Presented at the European Conference on Computer Vision, 2012.
24. Yanwei Fu, T. Hospedales, Tao Xiang, and Shaogang Gong Learning multi-modal latent attributes IEEE Trans. Pattern Anal. Mach. Intell. 36 2 2014 303 316
25. W. Liu, D. Tao, J. Cheng, and Y. Tang Multiview Hessian discriminative sparse coding for image annotation Comput. Vis. Image Underst. 118 2014 50 60
26. J.C. Bezdek, and R.J. Hathaway Convergence of alternating optimization Neural Parallel Sci. Comput. 11 2003 351 368
27. Yu-Gang Jiang, Guangnan Ye, Shih-Fu Chang, Daniel Ellis, Alexander C. Loui, Consumer video understanding: a benchmark database and an evaluation of human and machine performance, in: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Trento, Italy, April 2011.
28. Xinmei Tian, Dacheng Tao, and Yong Rui Sparse transfer learning for interactive video search reranking TOMCCAP 8 3 2012 26
29. Dacheng Tao, Xuelong Li, Xindong Wu, and J. Stephen Maybank: general tensor discriminant analysis and Gabor features for gait recognition IEEE Trans. Pattern Anal. Mach. Intell. 29 10 2007 1700 1715
30. Zheng-jun Zha, and Hanwang Zhang Detecting group activities with multi-camera context IEEE T-CSVT 23 5 2013 856 869
31. T.V. Duong, H.H. Bui, D.Q. Phung, S. Venkatesh, Activity recognition and abnormality detection with the switching hidden semi-Markov model, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2005, vol. 1, pp. 838-845.
32. Y. Luo, T. Wu, and J. Hwang Object-based analysis and interpretation of human motion in sports video sequences by dynamic Bayesian networks Comput. Vis. Image Underst. 92 2003 196 216
33. I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld, Learning realistic human actions from movies, in: Proceedings of CVPR, 2008, pp. 1-8.
34. A. Klaser, M. Marszalek, C. Schmid, A spatio-temporal descriptor based on 3D-gradients, in: Proceedings of BMVC, 2008.
35. G. Willems, T. Tuytelaars, L. Van Gool, An efficient dense and scale-invariant spatio-temporal interest point detector, in: Proceedings of ECCV, 2008, pp. 650-663.
36. Y. Ke, R. Sukthankar, M. Hebert, Spatio-temporal shape and flow correlation for action recognition, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
37. D. Damen, D. Hogg, Recognizing linked events: Searching the space of feasible explanations, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
38. Dacheng Tao, Xuelong Li, Xindong Wu, and J. Stephen Maybank: geometric mean for subspace selection IEEE Trans. Pattern Anal. Mach. Intell. 31 2 2009 260 274
39. Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval IEEE Trans. Pattern Anal. Mach. Intell. 28 7 2006 1088 1099
40. Q. Qiu, Z. Jiang, R. Chellappa, Sparse dictionary-based representation and recognition of action attributes, in: Proceedings of ICCV, 2011, pp. 707-714.
41. Y. Wang, K. Huang, T. Tan, Human activity recognition based on R transform, in: Proceedings of CVPR, 2007, pp. 1-8.
42. J.K. Aggarwal, and S. Ryoo Michael Human activity analysis: a review ACM Comput. Surv. (CSUR) 43 3 2011 16
43. A. Veeraraghavan, R. Chellappa, A., Roy-Chowdhury, The function space of an activity, in: Proceedings of IEEE Conference on Computer Vision and Pattern recognition (CVPR), 2006.
44. Alexandros Iosifidis, Anastasios Tefas, and Ioannis Pitas Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis Signal Process. 93 2013 1445 1457
45. R. Roopalakshmi, and G. Ram Mohana Reddy A novel spatio-temporal registration framework for video copy localization based on multimodal features Signal Process. 93 8 2013 2339 2351
46. Jun Yu, Yong Rui, and Bo Chen Exploiting click constraints and multi-view features for image re-ranking IEEE Trans. Multimed. 16 1 2014 159 168
47. Jun Yu, Meng Wang, and Dacheng Tao Semisupervised multiview distance metric learning for cartoon synthesis Image Process. IEEE Trans. 21 11 2012 4636 4648
48. Jun Yu On combining multiple features for cartoon character retrieval and clip synthesis Syst. Man Cybern. Part B: Cybern. IEEE Trans. 42 5 2012 1413 1427
49. Meng Wang, Bingbing Ni, Xian-Sheng Hua, and Tat-Seng Chua Assistive tagging: a survey of multimedia tagging with human-computer joint exploration (Article 25) ACM Comput. Surv. 44 4 2012
50. Meng Wang, and Xian-Sheng Hua Active learning in multimedia annotation and retrieval: a survey ACM Trans. Intell. Syst. Technol. 2 2 2011 10 31
51. Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, and Tat-Seng Chua Movie2Comics: towards a lively video content presentation IEEE Trans. Multimed. 14 3 2012 858 870
52. Liqiang Nie, Meng Wang, Yue Gao, Zheng-Jun Zha, and Tat-Seng Chua Beyond text QA: multimedia answer generation by harvesting web information IEEE Trans. Multimed. 15 2 2013 426 441
53. Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, and Hanqing Lu Spectral hashing with semantically consistent graph for image indexing IEEE Trans. Multimed. 15 1 2013 141 152