A Boosting method based on SVM for relevance feedback in content-based 3D model retrieval

2nd International Conference on Software Engineering and Data Mining, SEDM 2010

Volumn , Issue , 2010, Pages 517-522

  Wei, Tao ^a   Qin, Zheng ^a   Cao, Xiaoman ^a   Leng, Biao ^b  

^a TSINGHUA UNIVERSITY   (China)

^b BEIHANG UNIVERSITY   (China)

Author keywords

Boosting; Content based 3D model retrieval; Relevance feedback; Support Vector Machine

Indexed keywords

3D MODEL RETRIEVAL; 3D MODELS; BOOSTING; BOOSTING METHOD; CLASSICAL APPROACH; CONTENT-BASED 3D MODEL RETRIEVAL; ENSEMBLE METHODS; RELEVANCE FEEDBACK; RETRIEVAL PERFORMANCE;

DATA MINING; FEEDBACK; IMAGE RETRIEVAL; SELF ORGANIZING MAPS; SOFTWARE ENGINEERING; SUPPORT VECTOR MACHINES; THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL;

EID: 77956501257     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Funkhouser T, Kazhdan M, Min P, et al, "Shape-based retrieval and analysis of 3d models, " Communications of the ACM, 2005, 48(6):58-64
2. Kazhdan M, Funkhouser T, Rusinkiewicz S, "Rotation invariant spherical harmonic representation of 3D shape descriptors, " ACM SIGGRAPH symposium on Geometry, 2003, Session 6, 156-164
3. Vranic D., "An improvement of rotation invariant 3d shape descriptor based on functions on concentric spheres, " IEEE International Conference on Image Processing, Barcelona, Spain, 2003:757-760
4. G. Leifman, R. Meir, and A. Tal, "Semantic-oriented 3d shape retrieval using relevance feedback, " The Visual Computer, vol. 21, no. 8-10, pp. 865-875, 2005.
5. H.Y. Bang and T. Chen, "Feature space warping: an approach to relevance feedback, " in IEEE International Conference on Image Processing, 2002, pp. 22-25.
6. Atmosukarto, I., Leow, W., Huang, Z., "Feature combination and relevance feedback for 3D model retrieval, " In MMM, pp. 334-339 (2005)
7. M. Elad, A. Tal, and S. Ar, "Content based retrieval of vrml objects - an iterative and interactive approach, " in Proceedings of Eurographics Workshop on Multimedia, 2001, pp. 97-108.
8. Biao Leng, Tao Wei, Xiaoman Cao, Zheng Qin, "Evaluation of Relevance feedback methods for 3D shape retrieval, " Journal of Computational Information Systems, volume5, number 4, pp.1135-1141
9. Robert E. Schapire, "The strength of weak learn ability. Machine Learning, " 5(2):197-227, 1990.
10. Yoav Freund and Robert E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting, " Journal of Computer and System Sciences, 55(1):119-139, August 1997.
11. V. Vapnik, "The Nature of Statistical Learning Theory, " Springer-Verlag, 1995.
12. Peng, Y., Kou, G., Shi, Y., and Chen, Z., "A Descriptive Framework for the Field of Data Mining and Knowledge Discovery", International Journal of Information Technology and Decision Making, Vol. 7, Issue: 4, Page 639-682, 2008
13. Yoav Freund, "Boosting a Weak Learning Algorithm by Majority, " Information and Computation. 121(2):256-285, 1995.;
14. an extended abstract appeared in Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990.
15. N. Littlestone and M. K. Warmuth, "The weighted majority algorithm, "Inform. and Comput. 108 (1994), 212 261.
16. Hansen, L. K., Salamon, P., "Neural network ensembles, " IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (10), 993-1001, 1990
17. Tumer, K., Ghosh, J., "Error correlation and error reduction in ensemble classifiers, " Connection Science 8 (3-4), 385-403, 1990
18. Prem Melville and Raymond J.Mooney, "Creating Diversity In Ensembles Using Artificial Data, " Journal of Information Fusion, 2004
19. B. Scholkopf, K.-K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, and V. Vapnik, "Comparing support vector machines with gaussian kernels to radial basis function classifiers, " IEEE Transactions on Signal Processing, 45(11):2758-2765, 1997.
20. P. Shilane, P. Min, M. Kazhdan, and T. Funkhouser. "The Princeton shape benchmark, " In proceedings of Shape Modeling and Applications, 2004, pp. 167-178