Learning effective image metrics from few pairwise examples

Proceedings of the IEEE International Conference on Computer Vision

Volumn II, Issue , 2005, Pages 1371-1378

  Chen, Hwann Tzong ^a,b   Liu, Tyng Luh ^a   Fuh, Chiou Shann ^b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; OPTIMAL SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION;

IMAGE METRICS; IMAGE REPRESENTATION; METRIC OPTIMIZATION FRAMEWORKS; OPTIMAL BILINEAR TRANSFORM;

IMAGE ANALYSIS;

EID: 33745922094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.136     Document Type: Conference Paper

References (20)

1. V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios, "BoostMap: a Method for Efficient Approximate Similarity Rankings," CVPR, vol. 2, pp. 268-275, 2004.
2. L. Fei-Fei, R. Fergus, and P. Perona, "A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories," ICCV, vol. 2, pp. 1134-1141, 2003.
3. L. Fei-Fei, R. Fergus, and P. Perona, "Learning Generative Visual Models from Few Training Examples: an Incremental Bayesian Approach Tested on 101 Object Categories," CVPR Workshop on Generative-Model Based Vision, 2004.
4. M. Fink, "Object Classification from a Single Example Utilizing Class Relevance Pseudo-Metrics," NIPS 17, pp. 449-456, 2004.
5. A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, "From Few To Many: Generative Models For Recognition Under Variable Pose and Illumination," AFGR, pp. 277-284, 2000.
6. R. Gilad-Bachrach, A. Navot, and N. Tishby, "Margin Based Feature Selection - Theory and Algorithms," ICML, 2004.
7. J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov, "Neighbourhood Components Analysis," NIPS 17, pp. 513-520, 2004.
8. T. Hertz, A. Bar-Hillel, and D. Weinshall, "Learning Distance Functions for Image Retrieval," CVPR, vol. 2, pp. 570-577, 2004.
9. T. Hertz, N. Shental, A. Bar-Hillel, and D. Weinshall, "Enhancing Image and Video Retrieval: Learning via Equivalence Constraint," CVPR, vol. 2, pp. 668-674, 2003.
10. N. Higham, "Matrix Procrustes Problems," Tech. Rep., Department of Mathematics, University of Manchester, 1994.
11. S. Mahamud and M. Hebert, "Minimum Risk Distance Measure for Object Recognition," ICCV, pp. 242-248, 2003.
12. A.M. Martinez and R. Benavente, "The AR Face Database," Tech. Rep. CVC Technical Report #24, Computer Vision Center at the U.A.B, June 1998.
13. S.G. Narasimhan, C. Wang, and S.K. Nayar, "All the Images of an Outdoor Scene," ECCV, vol. 3, pp. 148-162, 2002.
14. P.H. Schonemann, "On Two-Sided Orthogonal Procrustes Problems," Psychometrika, pp. 19-33, 1968.
15. A. Shashua and L. Wolf, "Kernel Feature Selection with Side Data Using a Spectral Approach," ECCV, vol. 3, pp. 39-53, 2004.
16. N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," ECCV, vol. 4, pp. 776-792, 2002.
17. K. Toyama and A. Blake, "Probabilistic Tracking in a Metric Space," ICCV, vol. 2, pp. 50-57, 2001.
18. K. Wagstaff, C. Cardie, S. Rogers, and S. Schrödl, "Constrained K-Means Clustering with Background Knowledge," ICML, pp. 577-584, 2001.
19. L. Wolf and A. Shashua, "Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-Based Approach," ICCV, pp. 378-384, 2003.
20. E.P. Xing, A.Y. Ng, M.I. Jordan, and S.J. Russell, "Distance Metric Learning with Application to Clustering with Side-Information," NIPS 15, pp. 505-512, 2002.