A sparse support vector machine approach to region-based image categorization

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 1121-1128

  Bi, Jinbo ^a   Chen, Yixin ^b   Wang, James Z ^c  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b The Research Institute for Children   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; AUTOMATIC PROGRAMMING; COMPUTER VISION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; PROBLEM SOLVING;

AUTOMATIC IMAGE CATEGORIZATION; CLASSIFICATION ALGORITHMS; IMAGE CATEGORIZATION; MULTIPLE-INSTANCE LEARNING (MIL) PROBLEM;

LEARNING SYSTEMS;

EID: 33745149013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.48     Document Type: Conference Paper

References (23)

1. K. Barnard, P. Duygulu, D. Forsyth, N. De Freitas, D. M. Blei, and M. I. Jordan, "Matching Words and Pictures," Journal of Machine Learning Research, 3:1107-1135, 2003.
2. K. P. Bennett, "Combining Support Vector and Mathematical Programming Methods for Classification," B. Schölkopf, C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Machines, pp. 307-326, 1999.
3. J. Bi, K. P. Bennett, M. Embrechts, C. Breneman and M. Song, "Dimensionality Reduction via Sparse Support Vector Machines," Journal of Machine Learning Research, 3:1229-1243, 2003.
4. O. Chapelle, P. Haffner, and V. N. Vapnik, "Support Vector Machines for Histogram-Based Image Classification," IEEE Transactions on Neural Networks, 10(5):1055-1064, 1999.
5. Y. Chen and J. Z. Wang, "Image Categorization by Learning and Reasoning with Regions," Journal of Machine Learning Research, 5:913-939, 2004.
6. T. G. Dietterich, R. H. Lathrop, and T. Lozano-Perez, "Solving the Multiple Instance Problem with Axis-Parallel Rectangles," Artificial Intelligence, 89(1-2):31-71, 1997.
7. R. Fergus, P. Perona, and A. Zisserman, "Object Class Recognition by Unsupervised Scale-Invariant Learning," Proc. IEEE Int'l Conf. on Computer Vision and Pattern Recognition, 2:264-271, 2003.
8. M. Galun, E. Sharon, R. Basri, and A. Brandt, "Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements," IEEE Int. Conf. on Computer Vision, pp. 716-723, 2003.
9. M. M. Gorkani and R. W. Picard, "Texture Orientation for Sorting Photos 'at a glance'," Proc. 12th Int'l Conf. on Pattern Recognition, 1:459-464, 1994.
10. 1LOG, ILOG CPLEX 6.5 Reference Manual, ILOG CPLEX Division, Incline Village, NV, 1999.
11. T. Kadir, A. Zisserman, and M. Brady, "An affine invariant salient region detector," Proc. of the 8th European Conference on Computer Vision, pp. 404-416, 2004
12. J. Li and J. Z. Wang, "Automatic Linguistic Indexing of Pictures By a Statistical Modeling Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9):1075-1088, 2003.
13. O. Maron and T. Lozano-Pérez, "A Framework for Multiple-Instance Learning," Advances in Neural Information Processing Systems 10, pp. 570-576, 1998.
14. J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust Wide baseline Stereo from Maximally Stable Extremal Regions," Proc. British Machine Vision Conference, 1:384-393, 2002.
15. K. Mikolajczyk and C. Schmid, "Scale & Affine Invariant Interest Point Detectors," International Journal of Computer Vision, 60(1):63-86, 2004.
16. F. Schaffalitzky and A. Zisserman, "Multi-view matching for unordered image sets, or 'How do I organize my holiday snaps?'", Proc. of the 7th European Conference on Computer Vision, 1:414-431, 2002.
17. J. R. Smith and C.-S. Li, "Image Classification and Querying Using Composite Region Templates," Int'l J. Computer Vision and Image Understanding, 75:(1/2):165-174, 1999.
18. A. J. Smola, B. Schölkopf, and G. Gätsch, "Linear Programs for Automatic Accuracy Control in Regression," Proc. Int'l Conf. Artificial Neural Networks, Berlin, Springer. 1999.
19. M. Szummer and R. W. Picard, "Indoor-Outdoor Image Classification," Proc. IEEE Int'l Workshop on Content-Based Access of Image and Video Databases, pp. 42-51, 1998.
20. T. Tuytelaars and L. Van Gool, "Matching widely separated views based on affine invariant regions," International Journal on Computer Vision, 59(1):61-85, 2004.
21. A. Vailaya, M. A. T. Figueiredo, A. K. Jain, and H.-J. Zhang, "Image Classification for Content-Based Indexing," IEEE Transactions on Image Processing, 10:(1):117-130, 2001.
22. Q. Zhang and S. Goldman, "EM-DD: An Improved Multiple-Instance Learning Technique," Advances in Neural Information Processing Systems 14, 2002.
23. J. Zhu, S. Rosset, T. Hastie, R. Tibshirani, "1-norm Support Vector Machines," Advances in Neural Information Processing Systems, 16, 2004.