Up: Many-to-Many Feature Matching Using
Previous: Conclusions
- 1
-
R. Agarwala, V. Bafna, M. Farach, M. Paterson, and M. Thorup.
On the approximability of numerical taxonomy (fitting distances by
tree metrics).
SIAM Journal on Computing, 28(2):1073-1085, 1999.
- 2
-
S. Belongie, J. Malik, and J. Puzicha.
Shape matching and object recognition using shape contexts.
IEEE PAMI, 24(4):509-522, April 2002.
- 3
-
R. Beveridge and E. M. Riseman.
How easy is matching 2D line models using local search?
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 19(6):564-579, June 1997.
- 4
-
P. Buneman.
The recovery of trees from measures of dissimilarity.
In F. Hodson, D. Kendall, and P. Tautu, editors, Mathematics in
the Archaeological and Historical Sciences, pages 387-395. Edinburgh
University Press, Edinburgh, 1971.
- 5
-
S. D. Cohen and L. J. Guibas.
The earth mover's distance under transformation sets.
In Proceedings, 7th International Conference on Computer
Vision, pages 1076-1083, Kerkyra, Greece, 1999.
- 6
-
J. H. Conway and N. J. A. Sloane.
Sphere Packing, Lattices and Groups.
Springer-Verlag, New York, 1998.
- 7
-
F. Demirci, A. Shokoufandeh, Y. Keselman, S. Dickinson, and L. Bretzner.
Many-to-many matching of scale-space feature hierarchies using metric
embedding.
In Scale Space Methods in Computer Vision, 4th International
Conference, pages 17-32, Isle of Skye, UK, June, 10-12 2003.
- 8
-
A. Gupta.
Embedding tree metrics into low dimensional euclidean spaces.
In Proceedings of the thirty-first annual ACM symposium on
Theory of computing, pages 694-700, 1999.
- 9
-
P. Indyk.
Algorithmic aspects of geometric embeddings.
In Proceedings, 42nd Annual Symposium on Foundations of Computer
Science, 2001.
- 10
-
Y. Keselman, A. Shokoufandeh, F. Demirci, and S. Dickinson.
Many-to-many graph matching via low-distortion embedding.
In Proceedings, IEEE Conference on Computer Vision and Pattern
Recognition, Madison, WI, June 2003.
- 11
-
S. Kosinov and T. Caelli.
Inexact multisubgraph matching using graph eigenspace and clustering
models.
In Proceedings of SSPR/SPR, volume 2396, pages 133-142.
Springer, 2002.
- 12
-
T.-L. Liu and D. Geiger.
Approximate tree matching and shape similarity.
In Proceedings, 7th International Conference on Computer
Vision, pages 456-462, Kerkyra, Greece, 1999.
- 13
-
J. Matousek.
On embedding trees into uniformly convex Banach spaces.
Israel Journal of Mathematics, 237:221-237, 1999.
- 14
-
B. Messmer and H. Bunke.
Efficient error-tolerant subgraph isomorphism detection.
In D. Dori and A. Bruckstein, editors, Shape, Structure and
Pattern Recognition, pages 231-240. World Scientific Publ. Co., 1995.
- 15
-
R. Myers, R. Wilson, and E. Hancock.
Bayesian graph edit distance.
IEEE PAMI, 22(6):628-635, 2000.
- 16
-
Y. Rubner, C. Tomasi, and L. J. Guibas.
The earth mover's distance as a metric for image retrieval.
International Journal of Computer Vision, 40(2):99-121, 2000.
- 17
-
G. Scott and H. Longuet-Higgins.
An algorithm for associating the features of two patterns.
Proceedings of Royal Society of London, B244:21-26, 1991.
- 18
-
T. Sebastian, P. Klein, and B. Kimia.
Recognition of shapes by editing shock graphs.
In IEEE International Conference on Computer Vision, pages
755-762, 2001.
- 19
-
A. Shokoufandeh, S.J. Dickinson, C. Jönsson, L. Bretzner, and T. Lindeberg.
On the representation and matching of qualitative shape at multiple
scales.
In Proceedings, 7th European Conference on Computer Vision,
volume 3, pages 759-775, 2002.
- 20
-
K. Siddiqi, A. Shokoufandeh, S. Dickinson, and S. Zucker.
Shock graphs and shape matching.
International Journal of Computer Vision, 30:1-24, 1999.